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class="social-profile-avatar-container"><img class="profile-avatar u-positionAbsolute" alt="George Yannis" border="0" onerror="if (this.src != '//a.academia-assets.com/images/s200_no_pic.png') this.src = '//a.academia-assets.com/images/s200_no_pic.png';" width="200" height="200" src="https://0.academia-photos.com/419950/100887/19758937/s200_george.yannis.jpg" /></div><div class="title-container"><h1 class="ds2-5-heading-sans-serif-sm">George Yannis</h1><div class="affiliations-container fake-truncate js-profile-affiliations"><div><a class="u-tcGrayDarker" href="https://ntua.academia.edu/">National Technical University of Athens</a>, <a class="u-tcGrayDarker" href="https://ntua.academia.edu/Departments/Civil_Engineering/Documents">Civil Engineering</a>, <span class="u-tcGrayDarker">Faculty Member</span></div></div></div></div><div class="sidebar-cta-container"><button class="ds2-5-button hidden profile-cta-button grow js-profile-follow-button" 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class="label">Following</p><p class="data">43</p></div></a><a><div class="stat-container js-profile-coauthors" data-broccoli-component="user-info.coauthors-count" data-click-track="profile-expand-user-info-coauthors"><p class="label">Co-authors</p><p class="data">27</p></div></a><span><div class="stat-container"><p class="label"><span class="js-profile-total-view-text">Public Views</span></p><p class="data"><span class="js-profile-view-count"></span></p></div></span></div><div class="user-bio-container"><div class="profile-bio fake-truncate js-profile-about" style="margin: 0px;">George Yannis is an International Road Safety Expert, Professor and Director of the Department of Transportation Planning Engineering at the National Technical University of Athens (NTUA). He leads the NTUA Road Safety Observatory, a Center of Research and Innovation Excellence with global recognition for its highly valuable contribution to safer mobility for all, in Greece, in Europe and worldwide.<br /><br />He has a thorough and broad understanding of the transportation sector, through his active involvement for more than 30 years as engineer, academic, advisor and decision maker in all areas of transportation planning and engineering at national and international level, with emphasis on data science. He has contributed extensively in more than 315 research and engineering projects and studies and in several scientific committees of the European Commission and other International Organisations (UNECE, OECD, WHO, World Bank, EIB, CEDR, ERF, IRF, PIARC, UITP, ETSC, ECTRI, WCTR, TRB). He has published 870 scientific papers (246 in scientific journals) widely cited worldwide.<br /><br />He is currently running 30 Marathons in 30 months in order to actively promote the adoption of 30km/h speed limit in as many cities as possible worldwide, as a key policy for safer, healthier and greener cities.<br /><br />More detailed information is available at: www.nrso.ntua.gr/geyannis<br /><span class="u-fw700">Phone: </span>+30.210.7721326<br /><b>Address: </b>5, Iroon Polytechniou str. GR-15773 Athens, Greece<br /><div class="js-profile-less-about u-linkUnstyled u-tcGrayDarker u-textDecorationUnderline u-displayNone">less</div></div></div><div class="ri-section"><div class="ri-section-header"><span>Interests</span><a class="ri-more-link js-profile-ri-list-card" data-click-track="profile-user-info-primary-research-interest" data-has-card-for-ri-list="419950">View All (7)</a></div><div class="ri-tags-container"><a data-click-track="profile-user-info-expand-research-interests" data-has-card-for-ri-list="419950" href="https://www.academia.edu/Documents/in/Road_safety"><div id="js-react-on-rails-context" style="display:none" data-rails-context="{"inMailer":false,"i18nLocale":"en","i18nDefaultLocale":"en","href":"https://ntua.academia.edu/GeorgeYannis","location":"/GeorgeYannis","scheme":"https","host":"ntua.academia.edu","port":null,"pathname":"/GeorgeYannis","search":null,"httpAcceptLanguage":null,"serverSide":false}"></div> <div class="js-react-on-rails-component" 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class="profile--tab_heading_container js-section-heading" data-section="Papers" id="Papers"><h3 class="profile--tab_heading_container">Papers by George Yannis</h3></div><div class="js-work-strip profile--work_container" data-work-id="17224449"><div class="profile--work_thumbnail hidden-xs"><a class="js-work-strip-work-link" data-click-track="profile-work-strip-thumbnail" href="https://www.academia.edu/17224449/CONTROLLING_CREST_VERTICAL_CURVATURE_RATES_BASED_ON_VARIABLE_GRADE_STOPPING_SIGHT_DISTANCE_CALCULATION"><img alt="Research paper thumbnail of CONTROLLING CREST VERTICAL CURVATURE RATES BASED ON VARIABLE GRADE STOPPING SIGHT DISTANCE CALCULATION" class="work-thumbnail" src="https://a.academia-assets.com/images/blank-paper.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" href="https://www.academia.edu/17224449/CONTROLLING_CREST_VERTICAL_CURVATURE_RATES_BASED_ON_VARIABLE_GRADE_STOPPING_SIGHT_DISTANCE_CALCULATION">CONTROLLING CREST VERTICAL CURVATURE RATES BASED ON VARIABLE GRADE STOPPING SIGHT DISTANCE CALCULATION</a></div><div class="wp-workCard_item wp-workCard--coauthors"><span>by </span><span><a class="" data-click-track="profile-work-strip-authors" href="https://ntua.academia.edu/BasilPsarianos">Basil Psarianos</a>, <a class="" data-click-track="profile-work-strip-authors" href="https://independent.academia.edu/StergiosMavromatis">Stergios Mavromatis</a>, and <a class="" data-click-track="profile-work-strip-authors" href="https://ntua.academia.edu/GeorgeYannis">George Yannis</a></span></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">ABSTRACT Stopping Sight Distance (SSD) is a key control element which directly affects the sugges...</span><a class="js-work-more-abstract" data-broccoli-component="work_strip.more_abstract" data-click-track="profile-work-strip-more-abstract" href="javascript:;"><span> more </span><span><i class="fa fa-caret-down"></i></span></a><span class="js-work-more-abstract-untruncated hidden">ABSTRACT Stopping Sight Distance (SSD) is a key control element which directly affects the suggested values of crucial road design parameters. Although there is a significant difference in SSD values between upgrades and downgrades, many Design Policies ignore the grade effect during vehicle braking on variable grades. Such a case is experienced during the determination of crest vertical curvature rates where the relevant SSD values are extracted assuming leveled road geometry. The paper investigates possible deficiency of this approach, regarding cases where the length of the vertical curve exceeds the control SSD values. The authors addressed the SSD calculation on variable grades during the braking process through a recently developed process that relates the point mass model and the laws of mechanics. For a wide range of design speed values, charts illustrating the required SSDs were drawn as a function of negative ending grade values related to control crest vertical curve rates, as adopted by AASHTO. The process revealed numerous SSD shortage areas, where the authors provided revised crest vertical curvature rates, in order to grant SSD adequacy throughout the vehicles’ breaking process. Furthermore, the authors aiming to provide the designers with ready-to-use vertical design tool associated the amended vertical curvature rates to AASHTO’s road functional classification, as a function of the crest vertical curve’s exit grade value.</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="17224449"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span><span id="work-strip-rankings-button-container"></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="17224449"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 17224449; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=17224449]").text(description); $(".js-view-count[data-work-id=17224449]").attr('title', description).tooltip(); }); });</script></span></span><span><span class="percentile-widget hidden"><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 17224449; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-work-strip[data-work-id='17224449']"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></span><span><script>$(function() { new Works.PaperRankView({ workId: 17224449, container: "", }); });</script></span></div><div id="work-strip-premium-row-container"></div></div></div><script> require.config({ waitSeconds: 90 })(["https://a.academia-assets.com/assets/wow_profile-f77ea15d77ce96025a6048a514272ad8becbad23c641fc2b3bd6e24ca6ff1932.js","https://a.academia-assets.com/assets/work_edit-ad038b8c047c1a8d4fa01b402d530ff93c45fee2137a149a4a5398bc8ad67560.js"], function() { // from javascript_helper.rb var dispatcherData = {} if (false){ window.WowProfile.dispatcher = window.WowProfile.dispatcher || _.clone(Backbone.Events); dispatcherData = { dispatcher: window.WowProfile.dispatcher, downloadLinkId: "-1" } } $('.js-work-strip[data-work-id=17224449]').each(function() { if (!$(this).data('initialized')) { new WowProfile.WorkStripView({ el: this, workJSON: {"id":17224449,"title":"CONTROLLING CREST VERTICAL CURVATURE RATES BASED ON VARIABLE GRADE STOPPING SIGHT DISTANCE CALCULATION","translated_title":"","metadata":{"abstract":"ABSTRACT Stopping Sight Distance (SSD) is a key control element which directly affects the suggested values of crucial road design parameters. Although there is a significant difference in SSD values between upgrades and downgrades, many Design Policies ignore the grade effect during vehicle braking on variable grades. Such a case is experienced during the determination of crest vertical curvature rates where the relevant SSD values are extracted assuming leveled road geometry. The paper investigates possible deficiency of this approach, regarding cases where the length of the vertical curve exceeds the control SSD values. The authors addressed the SSD calculation on variable grades during the braking process through a recently developed process that relates the point mass model and the laws of mechanics. For a wide range of design speed values, charts illustrating the required SSDs were drawn as a function of negative ending grade values related to control crest vertical curve rates, as adopted by AASHTO. 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The paper investigates possible deficiency of this approach, regarding cases where the length of the vertical curve exceeds the control SSD values. The authors addressed the SSD calculation on variable grades during the braking process through a recently developed process that relates the point mass model and the laws of mechanics. For a wide range of design speed values, charts illustrating the required SSDs were drawn as a function of negative ending grade values related to control crest vertical curve rates, as adopted by AASHTO. The process revealed numerous SSD shortage areas, where the authors provided revised crest vertical curvature rates, in order to grant SSD adequacy throughout the vehicles’ breaking process. 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dispatcherData = { dispatcher: window.WowProfile.dispatcher, downloadLinkId: "d6a4fae98fbf98c29a0cff625f8461a0" } } $('.js-work-strip[data-work-id=33425478]').each(function() { if (!$(this).data('initialized')) { new WowProfile.WorkStripView({ el: this, workJSON: {"id":33425478,"title":"Effects of cerebral diseases on driver distraction","translated_title":"","metadata":{"grobid_abstract":"The objective of this paper is to review the literature on the ability of individuals having some kind of cerebral disease to drive, especially while being distracted. Driver distraction, defined as the diversion of attention away from activities critical for safe driving toward a competing activity, is found to be an important cause of road accidents. Driver distraction effects may interfere with several cerebral diseases with high prevalence in the general population, such as cerebral incidents, Parkinson's, Alzheimer's, Mild Dementia and Mild Cognitive Impairment. These diseases affect driver's attention and other cognitive functions and cause degradation in driving performance, which might in turn translate into increased accident risk, especially at the presence of additional (external) distractors. Overall, the literature review confirms that the interaction between driver distraction and cerebral diseases downgrades the driving performance. The degree to which these clinical conditions affect accident risk, especially when unexpected incidents take place, and the driver's response, need further investigation.","grobid_abstract_attachment_id":53476654},"translated_abstract":null,"internal_url":"https://www.academia.edu/33425478/Effects_of_cerebral_diseases_on_driver_distraction","translated_internal_url":"","created_at":"2017-06-12T10:05:20.943-07:00","preview_url":null,"current_user_can_edit":null,"current_user_is_owner":null,"owner_id":32841172,"coauthors_can_edit":true,"document_type":"paper","co_author_tags":[{"id":29303420,"work_id":33425478,"tagging_user_id":32841172,"tagged_user_id":32790404,"co_author_invite_id":null,"email":"a***n@otenet.gr","affiliation":"National \u0026 Kapodistrian University of Athens","display_order":0,"name":"Alexandra Economou","title":"Effects of cerebral diseases on driver distraction"},{"id":29303422,"work_id":33425478,"tagging_user_id":32841172,"tagged_user_id":419950,"co_author_invite_id":null,"email":"g***s@gmail.com","affiliation":"National Technical University of Athens","display_order":4194304,"name":"George Yannis","title":"Effects of cerebral diseases on driver distraction"},{"id":29303425,"work_id":33425478,"tagging_user_id":32841172,"tagged_user_id":50390153,"co_author_invite_id":null,"email":"i***6@hotmail.com","display_order":6291456,"name":"I. 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$(this).data('initialized', true); } }); $a.trackClickSource(".js-work-strip-work-link", "profile_work_strip") }); </script> <div class="js-work-strip profile--work_container" data-work-id="33172062"><div class="profile--work_thumbnail hidden-xs"><a class="js-work-strip-work-link" data-click-track="profile-work-strip-thumbnail" href="https://www.academia.edu/33172062/Stopping_sight_distance_adequacy_assessment_on_freeways_the_case_of_left_horizontal_curves_over_crest_vertical_curves"><img alt="Research paper thumbnail of Stopping sight distance adequacy assessment on freeways: the case of left horizontal curves over crest vertical curves" class="work-thumbnail" src="https://attachments.academia-assets.com/63666215/thumbnails/1.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" href="https://www.academia.edu/33172062/Stopping_sight_distance_adequacy_assessment_on_freeways_the_case_of_left_horizontal_curves_over_crest_vertical_curves">Stopping sight distance adequacy assessment on freeways: the case of left horizontal curves over crest vertical curves</a></div><div class="wp-workCard_item wp-workCard--coauthors"><span>by </span><span><a class="" data-click-track="profile-work-strip-authors" href="https://ntua.academia.edu/BasilPsarianos">Basil Psarianos</a> and <a class="" data-click-track="profile-work-strip-authors" href="https://ntua.academia.edu/GeorgeYannis">George Yannis</a></span></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">This paper investigates potential Stopping Sight Distance (SSD) violation for 130km/h vehicle spe...</span><a class="js-work-more-abstract" data-broccoli-component="work_strip.more_abstract" data-click-track="profile-work-strip-more-abstract" href="javascript:;"><span> more </span><span><i class="fa fa-caret-down"></i></span></a><span class="js-work-more-abstract-untruncated hidden">This paper investigates potential Stopping Sight Distance (SSD) violation for 130km/h<br />vehicle speed, on the passing lane of divided highways at left horizontal curves<br />overlapped with crest vertical curves. The authors previously developed a SSD control<br />methodology that relates concurrently the 3D configuration of a roadway to the<br />dynamics of a vehicle moving along the actual roadway path. This methodology is<br />applied for the assessment of critical design parameters directly related to both<br />demanded and available SSD values. Initially, by utilizing control geometric and driver -<br />obstacle values adopted by AASHTO 2011 design policy, excessive SSD inadequacy<br />areas were revealed. Subsequently, on the basis of a classic statistical and<br />explanatory modeling approach for a number of geometry parameters, an evaluation of<br />SSD sufficiency was carried out in terms of both the probability of SSD inadequacy and<br />the prediction of the object height in order to grant SSD adequacy (amended object<br />height). These models may be useful to researchers and practitioners aiming to<br />evaluate the interaction of the utilized design parameters in terms of the presence and<br />the extent of SSD inadequacy. The results suggested that the probability modelling<br />approach was efficient, yielding a model which enables to correctly assess SSD<br />adequacy (by more than 94%) in such 3D road alignments. The lognormal modelling<br />approach for the prediction of the amended object height (AOH) was proved somewhat<br />less accurate when the AOH exceeds 1 metre, and further analysis is required in order<br />to fully investigate the non-linear relationships between the examined variables and the<br />amended object height.</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><a id="e57bfae025fb9f2e23c8eee80df52da0" class="wp-workCard--action" rel="nofollow" data-click-track="profile-work-strip-download" data-download="{"attachment_id":63666215,"asset_id":33172062,"asset_type":"Work","button_location":"profile"}" href="https://www.academia.edu/attachments/63666215/download_file?st=MTczMjQwMzkxNyw4LjIyMi4yMDguMTQ2&s=profile"><span><i class="fa fa-arrow-down"></i></span><span>Download</span></a><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="33172062"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span><span id="work-strip-rankings-button-container"></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="33172062"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 33172062; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=33172062]").text(description); $(".js-view-count[data-work-id=33172062]").attr('title', description).tooltip(); }); });</script></span></span><span><span class="percentile-widget hidden"><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 33172062; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-work-strip[data-work-id='33172062']"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></span><span><script>$(function() { new Works.PaperRankView({ workId: 33172062, container: "", }); });</script></span></div><div id="work-strip-premium-row-container"></div></div></div><script> require.config({ waitSeconds: 90 })(["https://a.academia-assets.com/assets/wow_profile-f77ea15d77ce96025a6048a514272ad8becbad23c641fc2b3bd6e24ca6ff1932.js","https://a.academia-assets.com/assets/work_edit-ad038b8c047c1a8d4fa01b402d530ff93c45fee2137a149a4a5398bc8ad67560.js"], function() { // from javascript_helper.rb var dispatcherData = {} if (true){ window.WowProfile.dispatcher = window.WowProfile.dispatcher || _.clone(Backbone.Events); dispatcherData = { dispatcher: window.WowProfile.dispatcher, downloadLinkId: "e57bfae025fb9f2e23c8eee80df52da0" } } $('.js-work-strip[data-work-id=33172062]').each(function() { if (!$(this).data('initialized')) { new WowProfile.WorkStripView({ el: this, workJSON: {"id":33172062,"title":"Stopping sight distance adequacy assessment on freeways: the case of left horizontal curves over crest vertical curves","translated_title":"","metadata":{"abstract":"This paper investigates potential Stopping Sight Distance (SSD) violation for 130km/h\nvehicle speed, on the passing lane of divided highways at left horizontal curves\noverlapped with crest vertical curves. The authors previously developed a SSD control\nmethodology that relates concurrently the 3D configuration of a roadway to the\ndynamics of a vehicle moving along the actual roadway path. This methodology is\napplied for the assessment of critical design parameters directly related to both\ndemanded and available SSD values. Initially, by utilizing control geometric and driver -\nobstacle values adopted by AASHTO 2011 design policy, excessive SSD inadequacy\nareas were revealed. Subsequently, on the basis of a classic statistical and\nexplanatory modeling approach for a number of geometry parameters, an evaluation of\nSSD sufficiency was carried out in terms of both the probability of SSD inadequacy and\nthe prediction of the object height in order to grant SSD adequacy (amended object\nheight). These models may be useful to researchers and practitioners aiming to\nevaluate the interaction of the utilized design parameters in terms of the presence and\nthe extent of SSD inadequacy. The results suggested that the probability modelling\napproach was efficient, yielding a model which enables to correctly assess SSD\nadequacy (by more than 94%) in such 3D road alignments. The lognormal modelling\napproach for the prediction of the amended object height (AOH) was proved somewhat\nless accurate when the AOH exceeds 1 metre, and further analysis is required in order\nto fully investigate the non-linear relationships between the examined variables and the\namended object height."},"translated_abstract":"This paper investigates potential Stopping Sight Distance (SSD) violation for 130km/h\nvehicle speed, on the passing lane of divided highways at left horizontal curves\noverlapped with crest vertical curves. The authors previously developed a SSD control\nmethodology that relates concurrently the 3D configuration of a roadway to the\ndynamics of a vehicle moving along the actual roadway path. This methodology is\napplied for the assessment of critical design parameters directly related to both\ndemanded and available SSD values. Initially, by utilizing control geometric and driver -\nobstacle values adopted by AASHTO 2011 design policy, excessive SSD inadequacy\nareas were revealed. Subsequently, on the basis of a classic statistical and\nexplanatory modeling approach for a number of geometry parameters, an evaluation of\nSSD sufficiency was carried out in terms of both the probability of SSD inadequacy and\nthe prediction of the object height in order to grant SSD adequacy (amended object\nheight). These models may be useful to researchers and practitioners aiming to\nevaluate the interaction of the utilized design parameters in terms of the presence and\nthe extent of SSD inadequacy. The results suggested that the probability modelling\napproach was efficient, yielding a model which enables to correctly assess SSD\nadequacy (by more than 94%) in such 3D road alignments. The lognormal modelling\napproach for the prediction of the amended object height (AOH) was proved somewhat\nless accurate when the AOH exceeds 1 metre, and further analysis is required in order\nto fully investigate the non-linear relationships between the examined variables and the\namended object height.","internal_url":"https://www.academia.edu/33172062/Stopping_sight_distance_adequacy_assessment_on_freeways_the_case_of_left_horizontal_curves_over_crest_vertical_curves","translated_internal_url":"","created_at":"2017-05-24T01:45:58.604-07:00","preview_url":null,"current_user_can_edit":null,"current_user_is_owner":null,"owner_id":28364511,"coauthors_can_edit":true,"document_type":"paper","co_author_tags":[{"id":29080356,"work_id":33172062,"tagging_user_id":28364511,"tagged_user_id":32014899,"co_author_invite_id":null,"email":"s***s@gmail.com","display_order":0,"name":"Stergios Mavromatis","title":"Stopping sight distance adequacy assessment on freeways: the case of left horizontal curves over crest vertical curves"},{"id":29080357,"work_id":33172062,"tagging_user_id":28364511,"tagged_user_id":8629424,"co_author_invite_id":null,"email":"n***i@gmail.com","display_order":4194304,"name":"Eleonora Papadimitriou","title":"Stopping sight distance adequacy assessment on freeways: the case of left horizontal curves over crest vertical curves"},{"id":29080358,"work_id":33172062,"tagging_user_id":28364511,"tagged_user_id":419950,"co_author_invite_id":null,"email":"g***s@gmail.com","affiliation":"National Technical University of Athens","display_order":6291456,"name":"George Yannis","title":"Stopping sight distance adequacy assessment on freeways: the case of left horizontal curves over crest vertical curves"}],"downloadable_attachments":[{"id":63666215,"title":"","file_type":"pdf","scribd_thumbnail_url":"https://attachments.academia-assets.com/63666215/thumbnails/1.jpg","file_name":"TRL530_R1_1.pdf","download_url":"https://www.academia.edu/attachments/63666215/download_file?st=MTczMjQwMzkxNyw4LjIyMi4yMDguMTQ2&","bulk_download_file_name":"Stopping_sight_distance_adequacy_assessm.pdf","bulk_download_url":"https://d1wqtxts1xzle7.cloudfront.net/63666215/TRL530_R1_1-libre.pdf?1592476207=\u0026response-content-disposition=attachment%3B+filename%3DStopping_sight_distance_adequacy_assessm.pdf\u0026Expires=1732407517\u0026Signature=IcMAenYi6lR4HmvSWvO8DgxRw56yZCdUVLsByzR3r1V3GmsmT7LmFNIZCpCt6srK62yPzwTazBg~JvLoxPfOrcx0dfJKoIG20QTjlxl95LBC--tH6luXyD-ucWRnSfqxkdlwDMDQoRGua~IjLT7S5vZyEGRF9R9mFZFNZOBiM3NbNNBkOys9JHtFrrSTUkL45A47sUinTNuQ9Ywca4u5OvDj7tYLOpXc4C6BG6Mby9sg7OanTeQ91oyChFZYRIU~dD5ErmuHxtY~uU9RsPd02hnsCR6n0xItkHh9PK71YWaPcz~8PH7FbqkYVR4U90TqBFIG83O4YjiCwR5FD95oCQ__\u0026Key-Pair-Id=APKAJLOHF5GGSLRBV4ZA"}],"slug":"Stopping_sight_distance_adequacy_assessment_on_freeways_the_case_of_left_horizontal_curves_over_crest_vertical_curves","translated_slug":"","page_count":29,"language":"en","content_type":"Work","owner":{"id":28364511,"first_name":"Basil","middle_initials":null,"last_name":"Psarianos","page_name":"BasilPsarianos","domain_name":"ntua","created_at":"2015-03-23T12:42:26.134-07:00","display_name":"Basil Psarianos","url":"https://ntua.academia.edu/BasilPsarianos"},"attachments":[{"id":63666215,"title":"","file_type":"pdf","scribd_thumbnail_url":"https://attachments.academia-assets.com/63666215/thumbnails/1.jpg","file_name":"TRL530_R1_1.pdf","download_url":"https://www.academia.edu/attachments/63666215/download_file?st=MTczMjQwMzkxNyw4LjIyMi4yMDguMTQ2&","bulk_download_file_name":"Stopping_sight_distance_adequacy_assessm.pdf","bulk_download_url":"https://d1wqtxts1xzle7.cloudfront.net/63666215/TRL530_R1_1-libre.pdf?1592476207=\u0026response-content-disposition=attachment%3B+filename%3DStopping_sight_distance_adequacy_assessm.pdf\u0026Expires=1732407517\u0026Signature=IcMAenYi6lR4HmvSWvO8DgxRw56yZCdUVLsByzR3r1V3GmsmT7LmFNIZCpCt6srK62yPzwTazBg~JvLoxPfOrcx0dfJKoIG20QTjlxl95LBC--tH6luXyD-ucWRnSfqxkdlwDMDQoRGua~IjLT7S5vZyEGRF9R9mFZFNZOBiM3NbNNBkOys9JHtFrrSTUkL45A47sUinTNuQ9Ywca4u5OvDj7tYLOpXc4C6BG6Mby9sg7OanTeQ91oyChFZYRIU~dD5ErmuHxtY~uU9RsPd02hnsCR6n0xItkHh9PK71YWaPcz~8PH7FbqkYVR4U90TqBFIG83O4YjiCwR5FD95oCQ__\u0026Key-Pair-Id=APKAJLOHF5GGSLRBV4ZA"}],"research_interests":[{"id":2358,"name":"Road safety","url":"https://www.academia.edu/Documents/in/Road_safety"},{"id":807769,"name":"Geometric Design Of Highways","url":"https://www.academia.edu/Documents/in/Geometric_Design_Of_Highways"}],"urls":[]}, dispatcherData: dispatcherData }); $(this).data('initialized', true); } }); $a.trackClickSource(".js-work-strip-work-link", "profile_work_strip") }); </script> <div class="js-work-strip profile--work_container" data-work-id="33172118"><div class="profile--work_thumbnail hidden-xs"><a class="js-work-strip-work-link" data-click-track="profile-work-strip-thumbnail" href="https://www.academia.edu/33172118/Controlling_sag_vertical_curvature_rates_based_on_variable_grade_stopping_sight_distance_calculation"><img alt="Research paper thumbnail of Controlling sag vertical curvature rates based on variable grade stopping sight distance calculation" class="work-thumbnail" src="https://a.academia-assets.com/images/blank-paper.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" href="https://www.academia.edu/33172118/Controlling_sag_vertical_curvature_rates_based_on_variable_grade_stopping_sight_distance_calculation">Controlling sag vertical curvature rates based on variable grade stopping sight distance calculation</a></div><div class="wp-workCard_item wp-workCard--coauthors"><span>by </span><span><a class="" data-click-track="profile-work-strip-authors" href="https://ntua.academia.edu/BasilPsarianos">Basil Psarianos</a> and <a class="" data-click-track="profile-work-strip-authors" href="https://ntua.academia.edu/GeorgeYannis">George Yannis</a></span></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">Stopping Sight Distance (SSD) is a key control element which directly affects the suggested value...</span><a class="js-work-more-abstract" data-broccoli-component="work_strip.more_abstract" data-click-track="profile-work-strip-more-abstract" href="javascript:;"><span> more </span><span><i class="fa fa-caret-down"></i></span></a><span class="js-work-more-abstract-untruncated hidden">Stopping Sight Distance (SSD) is a key control element which directly affects the suggested values of crucial road design parameters. Although there is a significant difference in SSD values between upgrades and downgrades, many Design Policies ignore the grade effect during vehicle braking on variable grades. Such a case is experienced during the determination of sag vertical curvature rates where the relevant SSD values are extracted assuming leveled road geometry. The paper investigates possible deficiency of this approach, regarding cases where the length of the vertical curve exceeds the control SSD values.<br />The authors addressed the SSD calculation on variable grades during the braking process through a recently developed process that relates the point mass model and the laws of mechanics.<br />For a wide range of design speed values, charts illustrating the required SSDs were drawn as a function of negative entering grade values related to control sag vertical curve rates, as adopted by AASHTO. The process revealed numerous SSD shortage areas, where the authors provided revised sag vertical curvature rates, in order to grant SSD adequacy throughout the vehicles’ breaking process.<br />Furthermore, the authors aiming to provide the designers with ready-to-use vertical design tool associated the amended vertical curvature rates to AASHTO’s road functional classification, as a function of the sag vertical curve’s entering grade value.</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="33172118"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span><span id="work-strip-rankings-button-container"></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="33172118"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 33172118; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=33172118]").text(description); $(".js-view-count[data-work-id=33172118]").attr('title', description).tooltip(); }); });</script></span></span><span><span class="percentile-widget hidden"><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 33172118; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-work-strip[data-work-id='33172118']"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></span><span><script>$(function() { new Works.PaperRankView({ workId: 33172118, container: "", }); });</script></span></div><div id="work-strip-premium-row-container"></div></div></div><script> require.config({ waitSeconds: 90 })(["https://a.academia-assets.com/assets/wow_profile-f77ea15d77ce96025a6048a514272ad8becbad23c641fc2b3bd6e24ca6ff1932.js","https://a.academia-assets.com/assets/work_edit-ad038b8c047c1a8d4fa01b402d530ff93c45fee2137a149a4a5398bc8ad67560.js"], function() { // from javascript_helper.rb var dispatcherData = {} if (false){ window.WowProfile.dispatcher = window.WowProfile.dispatcher || _.clone(Backbone.Events); dispatcherData = { dispatcher: window.WowProfile.dispatcher, downloadLinkId: "-1" } } $('.js-work-strip[data-work-id=33172118]').each(function() { if (!$(this).data('initialized')) { new WowProfile.WorkStripView({ el: this, workJSON: {"id":33172118,"title":"Controlling sag vertical curvature rates based on variable grade stopping sight distance calculation","translated_title":"","metadata":{"abstract":"Stopping Sight Distance (SSD) is a key control element which directly affects the suggested values of crucial road design parameters. Although there is a significant difference in SSD values between upgrades and downgrades, many Design Policies ignore the grade effect during vehicle braking on variable grades. Such a case is experienced during the determination of sag vertical curvature rates where the relevant SSD values are extracted assuming leveled road geometry. The paper investigates possible deficiency of this approach, regarding cases where the length of the vertical curve exceeds the control SSD values.\nThe authors addressed the SSD calculation on variable grades during the braking process through a recently developed process that relates the point mass model and the laws of mechanics.\nFor a wide range of design speed values, charts illustrating the required SSDs were drawn as a function of negative entering grade values related to control sag vertical curve rates, as adopted by AASHTO. The process revealed numerous SSD shortage areas, where the authors provided revised sag vertical curvature rates, in order to grant SSD adequacy throughout the vehicles’ breaking process.\nFurthermore, the authors aiming to provide the designers with ready-to-use vertical design tool associated the amended vertical curvature rates to AASHTO’s road functional classification, as a function of the sag vertical curve’s entering grade value."},"translated_abstract":"Stopping Sight Distance (SSD) is a key control element which directly affects the suggested values of crucial road design parameters. Although there is a significant difference in SSD values between upgrades and downgrades, many Design Policies ignore the grade effect during vehicle braking on variable grades. Such a case is experienced during the determination of sag vertical curvature rates where the relevant SSD values are extracted assuming leveled road geometry. The paper investigates possible deficiency of this approach, regarding cases where the length of the vertical curve exceeds the control SSD values.\nThe authors addressed the SSD calculation on variable grades during the braking process through a recently developed process that relates the point mass model and the laws of mechanics.\nFor a wide range of design speed values, charts illustrating the required SSDs were drawn as a function of negative entering grade values related to control sag vertical curve rates, as adopted by AASHTO. The process revealed numerous SSD shortage areas, where the authors provided revised sag vertical curvature rates, in order to grant SSD adequacy throughout the vehicles’ breaking process.\nFurthermore, the authors aiming to provide the designers with ready-to-use vertical design tool associated the amended vertical curvature rates to AASHTO’s road functional classification, as a function of the sag vertical curve’s entering grade value.","internal_url":"https://www.academia.edu/33172118/Controlling_sag_vertical_curvature_rates_based_on_variable_grade_stopping_sight_distance_calculation","translated_internal_url":"","created_at":"2017-05-24T01:51:43.871-07:00","preview_url":null,"current_user_can_edit":null,"current_user_is_owner":null,"owner_id":28364511,"coauthors_can_edit":true,"document_type":"paper","co_author_tags":[{"id":29080445,"work_id":33172118,"tagging_user_id":28364511,"tagged_user_id":32014899,"co_author_invite_id":null,"email":"s***s@gmail.com","display_order":0,"name":"Stergios Mavromatis","title":"Controlling sag vertical curvature rates based on variable grade stopping sight distance calculation"},{"id":29080446,"work_id":33172118,"tagging_user_id":28364511,"tagged_user_id":28474562,"co_author_invite_id":null,"email":"n***t@engr.uky.edu","display_order":4194304,"name":"Nikiforos Stamatiadis","title":"Controlling sag vertical curvature rates based on variable grade stopping sight distance calculation"},{"id":29080447,"work_id":33172118,"tagging_user_id":28364511,"tagged_user_id":419950,"co_author_invite_id":null,"email":"g***s@gmail.com","affiliation":"National Technical University of Athens","display_order":6291456,"name":"George Yannis","title":"Controlling sag vertical curvature rates based on variable grade stopping sight distance calculation"}],"downloadable_attachments":[],"slug":"Controlling_sag_vertical_curvature_rates_based_on_variable_grade_stopping_sight_distance_calculation","translated_slug":"","page_count":null,"language":"en","content_type":"Work","owner":{"id":28364511,"first_name":"Basil","middle_initials":null,"last_name":"Psarianos","page_name":"BasilPsarianos","domain_name":"ntua","created_at":"2015-03-23T12:42:26.134-07:00","display_name":"Basil Psarianos","url":"https://ntua.academia.edu/BasilPsarianos"},"attachments":[],"research_interests":[{"id":2358,"name":"Road safety","url":"https://www.academia.edu/Documents/in/Road_safety"},{"id":807769,"name":"Geometric Design Of Highways","url":"https://www.academia.edu/Documents/in/Geometric_Design_Of_Highways"}],"urls":[]}, dispatcherData: dispatcherData }); $(this).data('initialized', true); } }); $a.trackClickSource(".js-work-strip-work-link", "profile_work_strip") }); </script> <div class="js-work-strip profile--work_container" data-work-id="32265153"><div class="profile--work_thumbnail hidden-xs"><a class="js-work-strip-work-link" data-click-track="profile-work-strip-thumbnail" href="https://www.academia.edu/32265153/An_Exploration_of_Road_Safety_Parameters_in_Greece_and_Turkey"><img alt="Research paper thumbnail of An Exploration of Road Safety Parameters in Greece and Turkey" class="work-thumbnail" src="https://attachments.academia-assets.com/52484149/thumbnails/1.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" href="https://www.academia.edu/32265153/An_Exploration_of_Road_Safety_Parameters_in_Greece_and_Turkey">An Exploration of Road Safety Parameters in Greece and Turkey</a></div><div class="wp-workCard_item wp-workCard--coauthors"><span>by </span><span><a class="" data-click-track="profile-work-strip-authors" href="https://independent.academia.edu/GeorgeKanellaidis">George Kanellaidis</a>, <a class="" data-click-track="profile-work-strip-authors" href="https://ntua.academia.edu/AlexandraLaiou">Alexandra Laiou</a>, and <a class="" data-click-track="profile-work-strip-authors" href="https://ntua.academia.edu/GeorgeYannis">George Yannis</a></span></div><div class="wp-workCard_item"><span>JOURNAL OF TRANSPORT AND SHIPPING</span><span>, Dec 1, 2007</span></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">Abstract. Given that several regions of Greece and Turkey have higher road accident death rates t...</span><a class="js-work-more-abstract" data-broccoli-component="work_strip.more_abstract" data-click-track="profile-work-strip-more-abstract" href="javascript:;"><span> more </span><span><i class="fa fa-caret-down"></i></span></a><span class="js-work-more-abstract-untruncated hidden">Abstract. Given that several regions of Greece and Turkey have higher road accident death rates than any other European region, the objective of this research is the exploration of the underline parameters, which contribute to this phenomenon. On that purpose, road accident fatalities are co-examined with basic macroscopic parameters affecting road safety, like population and vehicle fleet and lognormal models are developed for Greece, Turkey and three selected groups of EU countries. The application of the models developed showed ...</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><a id="6474d2e4eb337769ca9cb6a62064f848" class="wp-workCard--action" rel="nofollow" data-click-track="profile-work-strip-download" data-download="{"attachment_id":52484149,"asset_id":32265153,"asset_type":"Work","button_location":"profile"}" href="https://www.academia.edu/attachments/52484149/download_file?st=MTczMjQwMzkxNyw4LjIyMi4yMDguMTQ2&s=profile"><span><i class="fa fa-arrow-down"></i></span><span>Download</span></a><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="32265153"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span><span id="work-strip-rankings-button-container"></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="32265153"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 32265153; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=32265153]").text(description); $(".js-view-count[data-work-id=32265153]").attr('title', description).tooltip(); }); });</script></span></span><span><span class="percentile-widget hidden"><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 32265153; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-work-strip[data-work-id='32265153']"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></span><span><script>$(function() { new Works.PaperRankView({ workId: 32265153, container: "", }); });</script></span></div><div id="work-strip-premium-row-container"></div></div></div><script> require.config({ waitSeconds: 90 })(["https://a.academia-assets.com/assets/wow_profile-f77ea15d77ce96025a6048a514272ad8becbad23c641fc2b3bd6e24ca6ff1932.js","https://a.academia-assets.com/assets/work_edit-ad038b8c047c1a8d4fa01b402d530ff93c45fee2137a149a4a5398bc8ad67560.js"], function() { // from javascript_helper.rb var dispatcherData = {} if (true){ window.WowProfile.dispatcher = window.WowProfile.dispatcher || _.clone(Backbone.Events); dispatcherData = { dispatcher: window.WowProfile.dispatcher, downloadLinkId: "6474d2e4eb337769ca9cb6a62064f848" } } $('.js-work-strip[data-work-id=32265153]').each(function() { if (!$(this).data('initialized')) { new WowProfile.WorkStripView({ el: this, workJSON: {"id":32265153,"title":"An Exploration of Road Safety Parameters in Greece and Turkey","translated_title":"","metadata":{"abstract":"Abstract. 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class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" href="https://www.academia.edu/24735195/Acceptability_of_rider_assistive_systems_for_powered_two_wheelers">Acceptability of rider assistive systems for powered two-wheelers</a></div><div class="wp-workCard_item wp-workCard--coauthors"><span>by </span><span><a class="" data-click-track="profile-work-strip-authors" href="https://independent.academia.edu/ElisabethFuessl">Elisabeth Fuessl</a>, <a class="" data-click-track="profile-work-strip-authors" href="https://ntua.academia.edu/GeorgeYannis">George Yannis</a>, and <a class="" data-click-track="profile-work-strip-authors" href="https://ltu-se.academia.edu/LarsLeden">Lars Leden</a></span></div><div class="wp-workCard_item"><span>Transportation Research Part F: Traffic Psychology and Behaviour</span><span>, 2013</span></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">ABSTRACT There has been limited development of advanced rider assistance systems and on-bike info...</span><a class="js-work-more-abstract" data-broccoli-component="work_strip.more_abstract" data-click-track="profile-work-strip-more-abstract" href="javascript:;"><span> more </span><span><i class="fa fa-caret-down"></i></span></a><span class="js-work-more-abstract-untruncated hidden">ABSTRACT There has been limited development of advanced rider assistance systems and on-bike information systems for powered two-wheelers (PTWs), even though research suggests that population-wide deployment of assistive systems could significantly reduce PTW crashes. This study aims to understand general and system-specific factors that are likely to influence acceptability of PTW assistive systems, including barriers that may prevent uptake and proper use of systems, through a large-scale survey of European riders. The survey was available in seven languages and attracted 6297 respondents. Respondents were frequent riders, who rode primarily for leisure purposes and had high awareness of assistive systems. Cluster analysis revealed two groups based on overall acceptability of assistive systems. The moderate and low acceptance clusters differed in terms of riding practices, risk perception, attitudes towards rule breaking, and some personality traits. Overall acceptability was low, but riders who perceive greater risk in riding display higher acceptability. Acceptability was highest for systems that do not interfere with the riding task, are well-known and/or considered reliable (e.g., night vision, ABS, eCall, advanced front-lighting system). In general, riders believe that existing safety equipment (e.g., helmets, protective clothing) is more reliable, provides greater resistance, and is considerably cheaper than more sophisticated assistive technology. Riders believe that innovations should focus on protective equipment, since they believe crash prevention is better addressed through rider training. Finally, riders felt there should be more emphasis on vehicle tyre condition, while tyre pressure control systems were identified as potentially helpful.</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="24735195"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span><span id="work-strip-rankings-button-container"></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="24735195"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 24735195; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=24735195]").text(description); $(".js-view-count[data-work-id=24735195]").attr('title', description).tooltip(); }); });</script></span></span><span><span class="percentile-widget hidden"><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 24735195; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-work-strip[data-work-id='24735195']"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></span><span><script>$(function() { new Works.PaperRankView({ workId: 24735195, container: "", }); });</script></span></div><div id="work-strip-premium-row-container"></div></div></div><script> require.config({ waitSeconds: 90 })(["https://a.academia-assets.com/assets/wow_profile-f77ea15d77ce96025a6048a514272ad8becbad23c641fc2b3bd6e24ca6ff1932.js","https://a.academia-assets.com/assets/work_edit-ad038b8c047c1a8d4fa01b402d530ff93c45fee2137a149a4a5398bc8ad67560.js"], function() { // from javascript_helper.rb var dispatcherData = {} if (false){ window.WowProfile.dispatcher = window.WowProfile.dispatcher || _.clone(Backbone.Events); dispatcherData = { dispatcher: window.WowProfile.dispatcher, downloadLinkId: "-1" } } $('.js-work-strip[data-work-id=24735195]').each(function() { if (!$(this).data('initialized')) { new WowProfile.WorkStripView({ el: this, workJSON: {"id":24735195,"title":"Acceptability of rider assistive systems for powered two-wheelers","translated_title":"","metadata":{"abstract":"ABSTRACT There has been limited development of advanced rider assistance systems and on-bike information systems for powered two-wheelers (PTWs), even though research suggests that population-wide deployment of assistive systems could significantly reduce PTW crashes. This study aims to understand general and system-specific factors that are likely to influence acceptability of PTW assistive systems, including barriers that may prevent uptake and proper use of systems, through a large-scale survey of European riders. The survey was available in seven languages and attracted 6297 respondents. Respondents were frequent riders, who rode primarily for leisure purposes and had high awareness of assistive systems. Cluster analysis revealed two groups based on overall acceptability of assistive systems. The moderate and low acceptance clusters differed in terms of riding practices, risk perception, attitudes towards rule breaking, and some personality traits. Overall acceptability was low, but riders who perceive greater risk in riding display higher acceptability. Acceptability was highest for systems that do not interfere with the riding task, are well-known and/or considered reliable (e.g., night vision, ABS, eCall, advanced front-lighting system). In general, riders believe that existing safety equipment (e.g., helmets, protective clothing) is more reliable, provides greater resistance, and is considerably cheaper than more sophisticated assistive technology. Riders believe that innovations should focus on protective equipment, since they believe crash prevention is better addressed through rider training. Finally, riders felt there should be more emphasis on vehicle tyre condition, while tyre pressure control systems were identified as potentially helpful.","publication_date":{"day":null,"month":null,"year":2013,"errors":{}},"publication_name":"Transportation Research Part F: Traffic Psychology and Behaviour"},"translated_abstract":"ABSTRACT There has been limited development of advanced rider assistance systems and on-bike information systems for powered two-wheelers (PTWs), even though research suggests that population-wide deployment of assistive systems could significantly reduce PTW crashes. This study aims to understand general and system-specific factors that are likely to influence acceptability of PTW assistive systems, including barriers that may prevent uptake and proper use of systems, through a large-scale survey of European riders. The survey was available in seven languages and attracted 6297 respondents. Respondents were frequent riders, who rode primarily for leisure purposes and had high awareness of assistive systems. Cluster analysis revealed two groups based on overall acceptability of assistive systems. The moderate and low acceptance clusters differed in terms of riding practices, risk perception, attitudes towards rule breaking, and some personality traits. Overall acceptability was low, but riders who perceive greater risk in riding display higher acceptability. Acceptability was highest for systems that do not interfere with the riding task, are well-known and/or considered reliable (e.g., night vision, ABS, eCall, advanced front-lighting system). In general, riders believe that existing safety equipment (e.g., helmets, protective clothing) is more reliable, provides greater resistance, and is considerably cheaper than more sophisticated assistive technology. Riders believe that innovations should focus on protective equipment, since they believe crash prevention is better addressed through rider training. Finally, riders felt there should be more emphasis on vehicle tyre condition, while tyre pressure control systems were identified as potentially helpful.","internal_url":"https://www.academia.edu/24735195/Acceptability_of_rider_assistive_systems_for_powered_two_wheelers","translated_internal_url":"","created_at":"2016-04-25T03:51:30.705-07:00","preview_url":null,"current_user_can_edit":null,"current_user_is_owner":null,"owner_id":47682016,"coauthors_can_edit":true,"document_type":"paper","co_author_tags":[{"id":21523747,"work_id":24735195,"tagging_user_id":47682016,"tagged_user_id":419950,"co_author_invite_id":null,"email":"g***s@gmail.com","affiliation":"National Technical University of Athens","display_order":0,"name":"George Yannis","title":"Acceptability of rider assistive systems for powered two-wheelers"},{"id":21523749,"work_id":24735195,"tagging_user_id":47682016,"tagged_user_id":2627872,"co_author_invite_id":null,"email":"g***d@nottingham.ac.uk","affiliation":"University of Nottingham","display_order":6291456,"name":"Geoff Underwood","title":"Acceptability of rider assistive systems for powered two-wheelers"},{"id":21523750,"work_id":24735195,"tagging_user_id":47682016,"tagged_user_id":null,"co_author_invite_id":1139054,"email":"m***e@monash.edu","display_order":7340032,"name":"Michael Lenné","title":"Acceptability of rider assistive systems for powered two-wheelers"},{"id":21523751,"work_id":24735195,"tagging_user_id":47682016,"tagged_user_id":null,"co_author_invite_id":1920303,"email":"v***d@anu.edu.au","display_order":7864320,"name":"Vanessa Beanland","title":"Acceptability of rider assistive systems for powered two-wheelers"},{"id":28987930,"work_id":24735195,"tagging_user_id":47682016,"tagged_user_id":76839,"co_author_invite_id":null,"email":"r***r@verkehrspsychologie-dresden.de","affiliation":"Technische Universität Dresden","display_order":8126464,"name":"Lars Rößger","title":"Acceptability of rider assistive systems for powered two-wheelers"},{"id":28987932,"work_id":24735195,"tagging_user_id":47682016,"tagged_user_id":64496413,"co_author_invite_id":6307451,"email":"l***n@ltu.se","affiliation":"Luleå University of Technology","display_order":8257536,"name":"Lars Leden","title":"Acceptability of rider assistive systems for powered two-wheelers"},{"id":28987933,"work_id":24735195,"tagging_user_id":47682016,"tagged_user_id":34612234,"co_author_invite_id":null,"email":"i***p@central.ntua.gr","display_order":8323072,"name":"Ioanna Spyropoulou","title":"Acceptability of rider assistive systems for powered two-wheelers"},{"id":28987934,"work_id":24735195,"tagging_user_id":47682016,"tagged_user_id":49665194,"co_author_invite_id":null,"email":"s***a@dsv.su.se","display_order":8355840,"name":"Somya Joshi","title":"Acceptability of rider assistive systems for powered two-wheelers"}],"downloadable_attachments":[],"slug":"Acceptability_of_rider_assistive_systems_for_powered_two_wheelers","translated_slug":"","page_count":null,"language":"en","content_type":"Work","owner":{"id":47682016,"first_name":"Elisabeth","middle_initials":null,"last_name":"Fuessl","page_name":"ElisabethFuessl","domain_name":"independent","created_at":"2016-04-25T03:40:01.640-07:00","display_name":"Elisabeth Fuessl","url":"https://independent.academia.edu/ElisabethFuessl"},"attachments":[],"research_interests":[{"id":221,"name":"Psychology","url":"https://www.academia.edu/Documents/in/Psychology"}],"urls":[]}, dispatcherData: dispatcherData }); $(this).data('initialized', true); } }); $a.trackClickSource(".js-work-strip-work-link", "profile_work_strip") }); </script> <div class="js-work-strip profile--work_container" data-work-id="24766111"><div class="profile--work_thumbnail hidden-xs"><a class="js-work-strip-work-link" data-click-track="profile-work-strip-thumbnail" href="https://www.academia.edu/24766111/An_exploration_of_road_safety_parameters_in_Belarus_and_the_European_Union"><img alt="Research paper thumbnail of An exploration of road safety parameters in Belarus and the European Union" class="work-thumbnail" src="https://attachments.academia-assets.com/45095351/thumbnails/1.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" href="https://www.academia.edu/24766111/An_exploration_of_road_safety_parameters_in_Belarus_and_the_European_Union">An exploration of road safety parameters in Belarus and the European Union</a></div><div class="wp-workCard_item wp-workCard--coauthors"><span>by </span><span><a class="" data-click-track="profile-work-strip-authors" href="https://lboro.academia.edu/AthanasiosAkisTheofilatos">Athanasios Akis Theofilatos</a> and <a class="" data-click-track="profile-work-strip-authors" href="https://ntua.academia.edu/GeorgeYannis">George Yannis</a></span></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">The objective of the present paper is to explore key parameters contributing to road safety in Be...</span><a class="js-work-more-abstract" data-broccoli-component="work_strip.more_abstract" data-click-track="profile-work-strip-more-abstract" href="javascript:;"><span> more </span><span><i class="fa fa-caret-down"></i></span></a><span class="js-work-more-abstract-untruncated hidden">The objective of the present paper is to explore key parameters contributing to road safety in Belarus through the analysis of basic road safety data. In addition, road safety trends in Belarus are compared to those of EU member countries, which based on the different socioeconomic and road safety characteristicsare categorized in three distinct groups, , namely; Northwest , South and East EU members. On this purpose the latest general trends in road safety in Belarus were recorded and socioeconomic parameters were selected to explore the impact of each one of them to the number of road fatalities per population. A lognormal model was developed for Belarus and for the selected groups of EU countries. Dimensionless elasticities were used for the direct comparison of all model parameters, in order to identify differences and similarities in road safety performance in the examinedcountries. The examination of Belarus revealed findings very similar to those of East EU member countries, according to which the number of road fatalities per population was found to be affected by the GDP per capita but not by the total fleet. Specifically, an increase in the GDP per capita leads to a decrease in road fatalities per population. A negative relation between GDP per capita and road fatalities per population, although morethan double in terms of quantitative impact, was also found in the case of Northwest EU members.Contrary to the above findings, regarding South EU countries, the analysis showed that the total fleet has an impact on the number of road fatalities per population, where the GDP per capita has the adverse kind of impact on road fatalities per population than in the other examined groups. The results of this research revealed the importance of basic socioeconomic parameters on road fatalities' macroscopic trends. Common characteristics of neighbouring countries may explain similar road safety performance, and relevant findings may be exploited by all those who attempt to identify future road safety trends and propose appropriate countermeasures and policies.</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><a id="0976365c2331ad66b24553ee5a95c58d" class="wp-workCard--action" rel="nofollow" data-click-track="profile-work-strip-download" data-download="{"attachment_id":45095351,"asset_id":24766111,"asset_type":"Work","button_location":"profile"}" href="https://www.academia.edu/attachments/45095351/download_file?st=MTczMjQwMzkxNyw4LjIyMi4yMDguMTQ2&s=profile"><span><i class="fa fa-arrow-down"></i></span><span>Download</span></a><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="24766111"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span><span id="work-strip-rankings-button-container"></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="24766111"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 24766111; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=24766111]").text(description); $(".js-view-count[data-work-id=24766111]").attr('title', description).tooltip(); }); });</script></span></span><span><span class="percentile-widget hidden"><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 24766111; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-work-strip[data-work-id='24766111']"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></span><span><script>$(function() { new Works.PaperRankView({ workId: 24766111, container: "", }); });</script></span></div><div id="work-strip-premium-row-container"></div></div></div><script> require.config({ waitSeconds: 90 })(["https://a.academia-assets.com/assets/wow_profile-f77ea15d77ce96025a6048a514272ad8becbad23c641fc2b3bd6e24ca6ff1932.js","https://a.academia-assets.com/assets/work_edit-ad038b8c047c1a8d4fa01b402d530ff93c45fee2137a149a4a5398bc8ad67560.js"], function() { // from javascript_helper.rb var dispatcherData = {} if (true){ window.WowProfile.dispatcher = window.WowProfile.dispatcher || _.clone(Backbone.Events); dispatcherData = { dispatcher: window.WowProfile.dispatcher, downloadLinkId: "0976365c2331ad66b24553ee5a95c58d" } } $('.js-work-strip[data-work-id=24766111]').each(function() { if (!$(this).data('initialized')) { new WowProfile.WorkStripView({ el: this, workJSON: {"id":24766111,"title":"An exploration of road safety parameters in Belarus and the European Union","translated_title":"","metadata":{"abstract":"The objective of the present paper is to explore key parameters contributing to road safety in Belarus through the analysis of basic road safety data. In addition, road safety trends in Belarus are compared to those of EU member countries, which based on the different socioeconomic and road safety characteristicsare categorized in three distinct groups, , namely; Northwest , South and East EU members. On this purpose the latest general trends in road safety in Belarus were recorded and socioeconomic parameters were selected to explore the impact of each one of them to the number of road fatalities per population. A lognormal model was developed for Belarus and for the selected groups of EU countries. Dimensionless elasticities were used for the direct comparison of all model parameters, in order to identify differences and similarities in road safety performance in the examinedcountries. The examination of Belarus revealed findings very similar to those of East EU member countries, according to which the number of road fatalities per population was found to be affected by the GDP per capita but not by the total fleet. Specifically, an increase in the GDP per capita leads to a decrease in road fatalities per population. A negative relation between GDP per capita and road fatalities per population, although morethan double in terms of quantitative impact, was also found in the case of Northwest EU members.Contrary to the above findings, regarding South EU countries, the analysis showed that the total fleet has an impact on the number of road fatalities per population, where the GDP per capita has the adverse kind of impact on road fatalities per population than in the other examined groups. The results of this research revealed the importance of basic socioeconomic parameters on road fatalities' macroscopic trends. Common characteristics of neighbouring countries may explain similar road safety performance, and relevant findings may be exploited by all those who attempt to identify future road safety trends and propose appropriate countermeasures and policies."},"translated_abstract":"The objective of the present paper is to explore key parameters contributing to road safety in Belarus through the analysis of basic road safety data. In addition, road safety trends in Belarus are compared to those of EU member countries, which based on the different socioeconomic and road safety characteristicsare categorized in three distinct groups, , namely; Northwest , South and East EU members. On this purpose the latest general trends in road safety in Belarus were recorded and socioeconomic parameters were selected to explore the impact of each one of them to the number of road fatalities per population. A lognormal model was developed for Belarus and for the selected groups of EU countries. Dimensionless elasticities were used for the direct comparison of all model parameters, in order to identify differences and similarities in road safety performance in the examinedcountries. The examination of Belarus revealed findings very similar to those of East EU member countries, according to which the number of road fatalities per population was found to be affected by the GDP per capita but not by the total fleet. Specifically, an increase in the GDP per capita leads to a decrease in road fatalities per population. A negative relation between GDP per capita and road fatalities per population, although morethan double in terms of quantitative impact, was also found in the case of Northwest EU members.Contrary to the above findings, regarding South EU countries, the analysis showed that the total fleet has an impact on the number of road fatalities per population, where the GDP per capita has the adverse kind of impact on road fatalities per population than in the other examined groups. The results of this research revealed the importance of basic socioeconomic parameters on road fatalities' macroscopic trends. Common characteristics of neighbouring countries may explain similar road safety performance, and relevant findings may be exploited by all those who attempt to identify future road safety trends and propose appropriate countermeasures and policies.","internal_url":"https://www.academia.edu/24766111/An_exploration_of_road_safety_parameters_in_Belarus_and_the_European_Union","translated_internal_url":"","created_at":"2016-04-26T03:53:42.446-07:00","preview_url":null,"current_user_can_edit":null,"current_user_is_owner":null,"owner_id":295230,"coauthors_can_edit":true,"document_type":"paper","co_author_tags":[{"id":19501206,"work_id":24766111,"tagging_user_id":295230,"tagged_user_id":419950,"co_author_invite_id":null,"email":"g***s@gmail.com","affiliation":"National Technical University of Athens","display_order":0,"name":"George Yannis","title":"An exploration of road safety parameters in Belarus and the European Union"},{"id":30883541,"work_id":24766111,"tagging_user_id":295230,"tagged_user_id":247425678,"co_author_invite_id":6606909,"email":"s***o@central.ntua.gr","display_order":4194304,"name":"Stergios Mavromatis","title":"An exploration of road safety parameters in Belarus and the European Union"}],"downloadable_attachments":[{"id":45095351,"title":"","file_type":"pdf","scribd_thumbnail_url":"https://attachments.academia-assets.com/45095351/thumbnails/1.jpg","file_name":"geyannis-pc225.pdf","download_url":"https://www.academia.edu/attachments/45095351/download_file?st=MTczMjQwMzkxNyw4LjIyMi4yMDguMTQ2&","bulk_download_file_name":"An_exploration_of_road_safety_parameters.pdf","bulk_download_url":"https://d1wqtxts1xzle7.cloudfront.net/45095351/geyannis-pc225-libre.pdf?1461668057=\u0026response-content-disposition=attachment%3B+filename%3DAn_exploration_of_road_safety_parameters.pdf\u0026Expires=1732407517\u0026Signature=Q8m~juoG6nohOWWIvSdJ14tYpw8dnysL0cIsWZKPtHUvmiY1IRsUOoTcluucxCfp8CtSClt8rJFW-V98Zh~kVaHwkB-aofH7jQAirU1mpRG7019iwkmBHG8unEnkXBw~d-Kx3KeXCBvAYvaEyXPRrIKlXHpGZ2EIX0YngTiqBExu6D0pboLZ2KuhlAHs8dr1C7Yijg8fCQiwVmdTBhw3zdq9iB3uHEp5POkC2K1Lh8j6DVmn~P9MbON9KB7EPT5NjpPJI9sBEe4xizjaG1ZApv--5JOKKEwEkeesFeb9-mRxMtVCNnme7v3YuH5Nv3QAYkAA5rd6MSEOYkrZpIJc6g__\u0026Key-Pair-Id=APKAJLOHF5GGSLRBV4ZA"}],"slug":"An_exploration_of_road_safety_parameters_in_Belarus_and_the_European_Union","translated_slug":"","page_count":9,"language":"en","content_type":"Work","owner":{"id":295230,"first_name":"Athanasios Akis","middle_initials":null,"last_name":"Theofilatos","page_name":"AthanasiosAkisTheofilatos","domain_name":"lboro","created_at":"2010-12-12T21:18:08.954-08:00","display_name":"Athanasios Akis Theofilatos","url":"https://lboro.academia.edu/AthanasiosAkisTheofilatos"},"attachments":[{"id":45095351,"title":"","file_type":"pdf","scribd_thumbnail_url":"https://attachments.academia-assets.com/45095351/thumbnails/1.jpg","file_name":"geyannis-pc225.pdf","download_url":"https://www.academia.edu/attachments/45095351/download_file?st=MTczMjQwMzkxNyw4LjIyMi4yMDguMTQ2&","bulk_download_file_name":"An_exploration_of_road_safety_parameters.pdf","bulk_download_url":"https://d1wqtxts1xzle7.cloudfront.net/45095351/geyannis-pc225-libre.pdf?1461668057=\u0026response-content-disposition=attachment%3B+filename%3DAn_exploration_of_road_safety_parameters.pdf\u0026Expires=1732407517\u0026Signature=Q8m~juoG6nohOWWIvSdJ14tYpw8dnysL0cIsWZKPtHUvmiY1IRsUOoTcluucxCfp8CtSClt8rJFW-V98Zh~kVaHwkB-aofH7jQAirU1mpRG7019iwkmBHG8unEnkXBw~d-Kx3KeXCBvAYvaEyXPRrIKlXHpGZ2EIX0YngTiqBExu6D0pboLZ2KuhlAHs8dr1C7Yijg8fCQiwVmdTBhw3zdq9iB3uHEp5POkC2K1Lh8j6DVmn~P9MbON9KB7EPT5NjpPJI9sBEe4xizjaG1ZApv--5JOKKEwEkeesFeb9-mRxMtVCNnme7v3YuH5Nv3QAYkAA5rd6MSEOYkrZpIJc6g__\u0026Key-Pair-Id=APKAJLOHF5GGSLRBV4ZA"}],"research_interests":[{"id":116848,"name":"Road Safety, Transportation Planning and Management, Intelligent Transportation Systems","url":"https://www.academia.edu/Documents/in/Road_Safety_Transportation_Planning_and_Management_Intelligent_Transportation_Systems"}],"urls":[]}, dispatcherData: dispatcherData }); $(this).data('initialized', true); } }); $a.trackClickSource(".js-work-strip-work-link", "profile_work_strip") }); </script> <div class="js-work-strip profile--work_container" data-work-id="5909297"><div class="profile--work_thumbnail hidden-xs"><a class="js-work-strip-work-link" data-click-track="profile-work-strip-thumbnail" href="https://www.academia.edu/5909297/Accident_risk_of_foreign_drivers_in_various_road_environments"><img alt="Research paper thumbnail of Accident risk of foreign drivers in various road environments" class="work-thumbnail" src="https://a.academia-assets.com/images/blank-paper.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" href="https://www.academia.edu/5909297/Accident_risk_of_foreign_drivers_in_various_road_environments">Accident risk of foreign drivers in various road environments</a></div><div class="wp-workCard_item wp-workCard--coauthors"><span>by </span><span><a class="" data-click-track="profile-work-strip-authors" href="https://ntua.academia.edu/JohnGolias">John Golias</a> and <a class="" data-click-track="profile-work-strip-authors" href="https://ntua.academia.edu/GeorgeYannis">George Yannis</a></span></div><div class="wp-workCard_item"><span>Journal of Safety Research</span><span>, 2007</span></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">This paper reports on the accident risk of foreign and native drivers in various road environment...</span><a class="js-work-more-abstract" data-broccoli-component="work_strip.more_abstract" data-click-track="profile-work-strip-more-abstract" href="javascript:;"><span> more </span><span><i class="fa fa-caret-down"></i></span></a><span class="js-work-more-abstract-untruncated hidden">This paper reports on the accident risk of foreign and native drivers in various road environments in Greece. In particular, the analysis aims to determine the combined effect of driver nationality, area type (inside/outside urban area), junction (yes/no), and lighting conditions (day/night) on accident fault risk. Data from the national accident database of Greece are used in a hierarchical log-linear analysis. The induced exposure technique is applied due to the lack of exposure data. Estimated and observed odds ratios are then examined for the quantification of the various effects in terms of relative risk. The initial examination of a saturated model leads to the rejection of all three- and higher-order effects within variables, without providing an adequate fit to the data. On the contrary, a non-saturated second-order model presents a very satisfactory overall fit. The examination of single and combined effects indicates that the most significant effect on accident risk rises from the presence of foreign drivers at junctions. Results confirm that foreign drivers in Greece are at increased risk. However, immigrant permanent residents appear to have a lower risk compared to tourists, regardless of the road environment.</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="5909297"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span><span id="work-strip-rankings-button-container"></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="5909297"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 5909297; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=5909297]").text(description); $(".js-view-count[data-work-id=5909297]").attr('title', description).tooltip(); }); });</script></span></span><span><span class="percentile-widget hidden"><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 5909297; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-work-strip[data-work-id='5909297']"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></span><span><script>$(function() { new Works.PaperRankView({ workId: 5909297, container: "", }); });</script></span></div><div id="work-strip-premium-row-container"></div></div></div><script> require.config({ waitSeconds: 90 })(["https://a.academia-assets.com/assets/wow_profile-f77ea15d77ce96025a6048a514272ad8becbad23c641fc2b3bd6e24ca6ff1932.js","https://a.academia-assets.com/assets/work_edit-ad038b8c047c1a8d4fa01b402d530ff93c45fee2137a149a4a5398bc8ad67560.js"], function() { // from javascript_helper.rb var dispatcherData = {} if (false){ window.WowProfile.dispatcher = window.WowProfile.dispatcher || _.clone(Backbone.Events); dispatcherData = { dispatcher: window.WowProfile.dispatcher, downloadLinkId: "-1" } } $('.js-work-strip[data-work-id=5909297]').each(function() { if (!$(this).data('initialized')) { new WowProfile.WorkStripView({ el: this, workJSON: {"id":5909297,"title":"Accident risk of foreign drivers in various road environments","translated_title":"","metadata":{"abstract":"This paper reports on the accident risk of foreign and native drivers in various road environments in Greece. In particular, the analysis aims to determine the combined effect of driver nationality, area type (inside/outside urban area), junction (yes/no), and lighting conditions (day/night) on accident fault risk. Data from the national accident database of Greece are used in a hierarchical log-linear analysis. The induced exposure technique is applied due to the lack of exposure data. Estimated and observed odds ratios are then examined for the quantification of the various effects in terms of relative risk. The initial examination of a saturated model leads to the rejection of all three- and higher-order effects within variables, without providing an adequate fit to the data. On the contrary, a non-saturated second-order model presents a very satisfactory overall fit. The examination of single and combined effects indicates that the most significant effect on accident risk rises from the presence of foreign drivers at junctions. Results confirm that foreign drivers in Greece are at increased risk. However, immigrant permanent residents appear to have a lower risk compared to tourists, regardless of the road environment.","publication_date":{"day":null,"month":null,"year":2007,"errors":{}},"publication_name":"Journal of Safety Research"},"translated_abstract":"This paper reports on the accident risk of foreign and native drivers in various road environments in Greece. In particular, the analysis aims to determine the combined effect of driver nationality, area type (inside/outside urban area), junction (yes/no), and lighting conditions (day/night) on accident fault risk. Data from the national accident database of Greece are used in a hierarchical log-linear analysis. The induced exposure technique is applied due to the lack of exposure data. Estimated and observed odds ratios are then examined for the quantification of the various effects in terms of relative risk. The initial examination of a saturated model leads to the rejection of all three- and higher-order effects within variables, without providing an adequate fit to the data. On the contrary, a non-saturated second-order model presents a very satisfactory overall fit. The examination of single and combined effects indicates that the most significant effect on accident risk rises from the presence of foreign drivers at junctions. Results confirm that foreign drivers in Greece are at increased risk. However, immigrant permanent residents appear to have a lower risk compared to tourists, regardless of the road environment.","internal_url":"https://www.academia.edu/5909297/Accident_risk_of_foreign_drivers_in_various_road_environments","translated_internal_url":"","created_at":"2014-02-01T01:13:51.111-08:00","preview_url":null,"current_user_can_edit":null,"current_user_is_owner":null,"owner_id":8763802,"coauthors_can_edit":true,"document_type":"paper","co_author_tags":[{"id":19115551,"work_id":5909297,"tagging_user_id":8763802,"tagged_user_id":8629424,"co_author_invite_id":null,"email":"n***i@gmail.com","display_order":0,"name":"Eleonora Papadimitriou","title":"Accident risk of foreign drivers in various road environments"},{"id":19115594,"work_id":5909297,"tagging_user_id":8763802,"tagged_user_id":419950,"co_author_invite_id":null,"email":"g***s@gmail.com","affiliation":"National Technical University of Athens","display_order":4194304,"name":"George Yannis","title":"Accident risk of foreign drivers in various road environments"}],"downloadable_attachments":[],"slug":"Accident_risk_of_foreign_drivers_in_various_road_environments","translated_slug":"","page_count":null,"language":"en","content_type":"Work","owner":{"id":8763802,"first_name":"John","middle_initials":null,"last_name":"Golias","page_name":"JohnGolias","domain_name":"ntua","created_at":"2014-02-01T01:12:39.447-08:00","display_name":"John Golias","url":"https://ntua.academia.edu/JohnGolias"},"attachments":[],"research_interests":[{"id":221,"name":"Psychology","url":"https://www.academia.edu/Documents/in/Psychology"},{"id":8207,"name":"Risk","url":"https://www.academia.edu/Documents/in/Risk"},{"id":16664,"name":"Risk assessment","url":"https://www.academia.edu/Documents/in/Risk_assessment"},{"id":48044,"name":"Greece","url":"https://www.academia.edu/Documents/in/Greece"},{"id":49161,"name":"Safety","url":"https://www.academia.edu/Documents/in/Safety"},{"id":64568,"name":"Humans","url":"https://www.academia.edu/Documents/in/Humans"},{"id":410370,"name":"Public health systems and services research","url":"https://www.academia.edu/Documents/in/Public_health_systems_and_services_research-1"},{"id":622589,"name":"Risk Assessment","url":"https://www.academia.edu/Documents/in/Risk_Assessment-2"},{"id":1208706,"name":"Environment","url":"https://www.academia.edu/Documents/in/Environment"},{"id":1984794,"name":"Urban Area","url":"https://www.academia.edu/Documents/in/Urban_Area"},{"id":2248971,"name":"Automobile driving","url":"https://www.academia.edu/Documents/in/Automobile_driving"}],"urls":[{"id":2333936,"url":"http://www.sciencedirect.com/science/article/pii/S0022437507000850"}]}, dispatcherData: dispatcherData }); 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$(this).data('initialized', true); } }); $a.trackClickSource(".js-work-strip-work-link", "profile_work_strip") }); </script> <div class="js-work-strip profile--work_container" data-work-id="5909677"><div class="profile--work_thumbnail hidden-xs"><a class="js-work-strip-work-link" data-click-track="profile-work-strip-thumbnail" href="https://www.academia.edu/5909677/Overview_of_critical_risk_factors_in_Power_Two_Wheeler_safety"><img alt="Research paper thumbnail of Overview of critical risk factors in Power-Two-Wheeler safety" class="work-thumbnail" src="https://attachments.academia-assets.com/49093227/thumbnails/1.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" href="https://www.academia.edu/5909677/Overview_of_critical_risk_factors_in_Power_Two_Wheeler_safety">Overview of critical risk factors in Power-Two-Wheeler safety</a></div><div class="wp-workCard_item wp-workCard--coauthors"><span>by </span><span><a class="" data-click-track="profile-work-strip-authors" href="https://ntua.academia.edu/JohnGolias">John Golias</a>, <a class="" data-click-track="profile-work-strip-authors" href="https://ntua.academia.edu/EleniVlahogianni">Eleni I Vlahogianni</a>, and <a class="" data-click-track="profile-work-strip-authors" href="https://ntua.academia.edu/GeorgeYannis">George Yannis</a></span></div><div class="wp-workCard_item"><span>Accident; analysis and prevention,58,340-45</span><span>, 2012</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><a id="012037a32a53da4b5792a82f4405a5cc" class="wp-workCard--action" rel="nofollow" data-click-track="profile-work-strip-download" data-download="{"attachment_id":49093227,"asset_id":5909677,"asset_type":"Work","button_location":"profile"}" href="https://www.academia.edu/attachments/49093227/download_file?st=MTczMjQwMzkxNyw4LjIyMi4yMDguMTQ2&s=profile"><span><i class="fa fa-arrow-down"></i></span><span>Download</span></a><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="5909677"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span><span id="work-strip-rankings-button-container"></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="5909677"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 5909677; 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road link</a></div><div class="wp-workCard_item wp-workCard--coauthors"><span>by </span><span><a class="" data-click-track="profile-work-strip-authors" href="https://ntua.academia.edu/GeorgeYannis">George Yannis</a> and <a class="" data-click-track="profile-work-strip-authors" href="https://ntua.academia.edu/JohnGolias">John Golias</a></span></div><div class="wp-workCard_item"><span>Technika Chronika I,Vol3,3</span><span>, 2001</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><a id="4e286b0453ef7d80a136d22e1c30925e" class="wp-workCard--action" rel="nofollow" data-click-track="profile-work-strip-download" data-download="{"attachment_id":32896630,"asset_id":5916764,"asset_type":"Work","button_location":"profile"}" href="https://www.academia.edu/attachments/32896630/download_file?st=MTczMjQwMzkxNyw4LjIyMi4yMDguMTQ2&s=profile"><span><i class="fa fa-arrow-down"></i></span><span>Download</span></a><span 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dispatcherData: dispatcherData }); $(this).data('initialized', true); } }); $a.trackClickSource(".js-work-strip-work-link", "profile_work_strip") }); </script> <div class="js-work-strip profile--work_container" data-work-id="5916944"><div class="profile--work_thumbnail hidden-xs"><a class="js-work-strip-work-link" data-click-track="profile-work-strip-thumbnail" href="https://www.academia.edu/5916944/Effects_of_driver_nationality_and_road_characteristics_on_accident_fault_risk"><img alt="Research paper thumbnail of Effects of driver nationality and road characteristics on accident fault risk" class="work-thumbnail" src="https://a.academia-assets.com/images/blank-paper.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" href="https://www.academia.edu/5916944/Effects_of_driver_nationality_and_road_characteristics_on_accident_fault_risk">Effects of driver nationality and road characteristics on accident fault risk</a></div><div class="wp-workCard_item wp-workCard--coauthors"><span>by </span><span><a class="" data-click-track="profile-work-strip-authors" href="https://ntua.academia.edu/JohnGolias">John Golias</a> and <a class="" data-click-track="profile-work-strip-authors" href="https://ntua.academia.edu/GeorgeYannis">George Yannis</a></span></div><div class="wp-workCard_item"><span>International journal of injury control and safety promotion</span><span>, 2007</span></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">This paper investigates the combined effect of driver nationality and several road characteristic...</span><a class="js-work-more-abstract" data-broccoli-component="work_strip.more_abstract" data-click-track="profile-work-strip-more-abstract" href="javascript:;"><span> more </span><span><i class="fa fa-caret-down"></i></span></a><span class="js-work-more-abstract-untruncated hidden">This paper investigates the combined effect of driver nationality and several road characteristics (area type, at or not at junction, lighting conditions) on accident fault risk. Data from the national accident database of Greece are used to calculate accident relative fault risk rates under induced exposure assumptions. A log-linear analysis is then used to examine first- and higher-order effects within three or more variable groups. The examination of the second-order interaction among the accident fault risks of various driver nationalities at or not at junction was found to be significant. On the contrary, the respective combined effects of area type and lighting conditions were found to be non-significant. It was also shown that roadway features do not affect accident fault risk in a combined way. Results clearly indicate that foreign drivers in Greece are at increased risk. Moreover, foreign nationalities corresponding to permanent residents (i.e. Greeks and Albanians) appear to be at lower fault risk compared to foreign nationalities corresponding to tourists and visitors (e.g. EU Nationals). The effects of the various road characteristics do not modify these general trends.</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="5916944"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span><span id="work-strip-rankings-button-container"></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="5916944"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 5916944; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=5916944]").text(description); $(".js-view-count[data-work-id=5916944]").attr('title', description).tooltip(); }); });</script></span></span><span><span class="percentile-widget hidden"><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 5916944; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-work-strip[data-work-id='5916944']"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></span><span><script>$(function() { new Works.PaperRankView({ workId: 5916944, container: "", }); });</script></span></div><div id="work-strip-premium-row-container"></div></div></div><script> require.config({ waitSeconds: 90 })(["https://a.academia-assets.com/assets/wow_profile-f77ea15d77ce96025a6048a514272ad8becbad23c641fc2b3bd6e24ca6ff1932.js","https://a.academia-assets.com/assets/work_edit-ad038b8c047c1a8d4fa01b402d530ff93c45fee2137a149a4a5398bc8ad67560.js"], function() { // from javascript_helper.rb var dispatcherData = {} if (false){ window.WowProfile.dispatcher = window.WowProfile.dispatcher || _.clone(Backbone.Events); dispatcherData = { dispatcher: window.WowProfile.dispatcher, downloadLinkId: "-1" } } $('.js-work-strip[data-work-id=5916944]').each(function() { if (!$(this).data('initialized')) { new WowProfile.WorkStripView({ el: this, workJSON: {"id":5916944,"title":"Effects of driver nationality and road characteristics on accident fault risk","translated_title":"","metadata":{"abstract":"This paper investigates the combined effect of driver nationality and several road characteristics (area type, at or not at junction, lighting conditions) on accident fault risk. 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On the contrary, the respective combined effects of area type and lighting conditions were found to be non-significant. It was also shown that roadway features do not affect accident fault risk in a combined way. Results clearly indicate that foreign drivers in Greece are at increased risk. Moreover, foreign nationalities corresponding to permanent residents (i.e. Greeks and Albanians) appear to be at lower fault risk compared to foreign nationalities corresponding to tourists and visitors (e.g. EU Nationals). 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$(this).data('initialized', true); } }); $a.trackClickSource(".js-work-strip-work-link", "profile_work_strip") }); </script> <div class="js-work-strip profile--work_container" data-work-id="5917254"><div class="profile--work_thumbnail hidden-xs"><a class="js-work-strip-work-link" data-click-track="profile-work-strip-thumbnail" href="https://www.academia.edu/5917254/Detecting_Powered_Two_Wheeler_incidents_from_high_resolution_naturalistic_data"><img alt="Research paper thumbnail of Detecting Powered-Two-Wheeler incidents from high resolution naturalistic data" class="work-thumbnail" src="https://a.academia-assets.com/images/blank-paper.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" href="https://www.academia.edu/5917254/Detecting_Powered_Two_Wheeler_incidents_from_high_resolution_naturalistic_data">Detecting Powered-Two-Wheeler incidents from high resolution naturalistic data</a></div><div class="wp-workCard_item wp-workCard--coauthors"><span>by </span><span><a class="" data-click-track="profile-work-strip-authors" href="https://ntua.academia.edu/JohnGolias">John Golias</a>, <a class="" data-click-track="profile-work-strip-authors" href="https://ntua.academia.edu/EleniVlahogianni">Eleni I Vlahogianni</a>, and <a class="" data-click-track="profile-work-strip-authors" href="https://ntua.academia.edu/GeorgeYannis">George Yannis</a></span></div><div class="wp-workCard_item"><span>Transportation Research Part F: Traffic Psychology and Behaviour 22, 86-95</span><span>, 2014</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="5917254"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span><span id="work-strip-rankings-button-container"></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="5917254"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 5917254; 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$(this).data('initialized', true); } }); $a.trackClickSource(".js-work-strip-work-link", "profile_work_strip") }); </script> <div class="js-work-strip profile--work_container" data-work-id="5909312"><div class="profile--work_thumbnail hidden-xs"><a class="js-work-strip-work-link" data-click-track="profile-work-strip-thumbnail" href="https://www.academia.edu/5909312/A_critical_assessment_of_pedestrian_behaviour_models"><img alt="Research paper thumbnail of A critical assessment of pedestrian behaviour models" class="work-thumbnail" src="https://a.academia-assets.com/images/blank-paper.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" href="https://www.academia.edu/5909312/A_critical_assessment_of_pedestrian_behaviour_models">A critical assessment of pedestrian behaviour models</a></div><div class="wp-workCard_item wp-workCard--coauthors"><span>by </span><span><a class="" data-click-track="profile-work-strip-authors" href="https://ntua.academia.edu/JohnGolias">John Golias</a> and <a class="" data-click-track="profile-work-strip-authors" href="https://ntua.academia.edu/GeorgeYannis">George Yannis</a></span></div><div class="wp-workCard_item"><span>Transportation Research Part F-traffic Psychology and Behaviour,Vol. 12,Issue 3</span><span>, May 2009</span></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">This paper concerns a review and critical assessment of the existing research on pedestrian behav...</span><a class="js-work-more-abstract" data-broccoli-component="work_strip.more_abstract" data-click-track="profile-work-strip-more-abstract" href="javascript:;"><span> more </span><span><i class="fa fa-caret-down"></i></span></a><span class="js-work-more-abstract-untruncated hidden">This paper concerns a review and critical assessment of the existing research on pedestrian behaviour in urban areas, focusing on two separate yet complementary aspects: route choice and crossing behaviour. First, an exhaustive review of the existing route choice models for pedestrians is presented. It is shown that the existing models are mainly more stochastic and more macroscopic than required and seldom incorporate the interactions between pedestrians and traffic. Second, the existing models on pedestrians crossing ...</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="5909312"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span><span id="work-strip-rankings-button-container"></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="5909312"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 5909312; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=5909312]").text(description); $(".js-view-count[data-work-id=5909312]").attr('title', description).tooltip(); }); });</script></span></span><span><span class="percentile-widget hidden"><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 5909312; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-work-strip[data-work-id='5909312']"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></span><span><script>$(function() { new Works.PaperRankView({ workId: 5909312, container: "", }); });</script></span></div><div id="work-strip-premium-row-container"></div></div></div><script> require.config({ waitSeconds: 90 })(["https://a.academia-assets.com/assets/wow_profile-f77ea15d77ce96025a6048a514272ad8becbad23c641fc2b3bd6e24ca6ff1932.js","https://a.academia-assets.com/assets/work_edit-ad038b8c047c1a8d4fa01b402d530ff93c45fee2137a149a4a5398bc8ad67560.js"], function() { // from javascript_helper.rb var dispatcherData = {} if (false){ window.WowProfile.dispatcher = window.WowProfile.dispatcher || _.clone(Backbone.Events); dispatcherData = { dispatcher: window.WowProfile.dispatcher, downloadLinkId: "-1" } } $('.js-work-strip[data-work-id=5909312]').each(function() { if (!$(this).data('initialized')) { new WowProfile.WorkStripView({ el: this, workJSON: {"id":5909312,"title":"A critical assessment of pedestrian behaviour models","translated_title":"","metadata":{"abstract":"This paper concerns a review and critical assessment of the existing research on pedestrian behaviour in urban areas, focusing on two separate yet complementary aspects: route choice and crossing behaviour. 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Second, the existing models on pedestrians crossing ...","internal_url":"https://www.academia.edu/5909312/A_critical_assessment_of_pedestrian_behaviour_models","translated_internal_url":"","created_at":"2014-02-01T01:14:01.494-08:00","preview_url":null,"current_user_can_edit":null,"current_user_is_owner":null,"owner_id":8763802,"coauthors_can_edit":true,"document_type":"paper","co_author_tags":[{"id":19115557,"work_id":5909312,"tagging_user_id":8763802,"tagged_user_id":8629424,"co_author_invite_id":null,"email":"n***i@gmail.com","display_order":0,"name":"Eleonora Papadimitriou","title":"A critical assessment of pedestrian behaviour models"},{"id":19115599,"work_id":5909312,"tagging_user_id":8763802,"tagged_user_id":419950,"co_author_invite_id":null,"email":"g***s@gmail.com","affiliation":"National Technical University of Athens","display_order":4194304,"name":"George Yannis","title":"A critical assessment of pedestrian behaviour models"}],"downloadable_attachments":[],"slug":"A_critical_assessment_of_pedestrian_behaviour_models","translated_slug":"","page_count":null,"language":"en","content_type":"Work","owner":{"id":8763802,"first_name":"John","middle_initials":null,"last_name":"Golias","page_name":"JohnGolias","domain_name":"ntua","created_at":"2014-02-01T01:12:39.447-08:00","display_name":"John Golias","url":"https://ntua.academia.edu/JohnGolias"},"attachments":[],"research_interests":[{"id":221,"name":"Psychology","url":"https://www.academia.edu/Documents/in/Psychology"},{"id":4307,"name":"Behavior","url":"https://www.academia.edu/Documents/in/Behavior"},{"id":285086,"name":"Integrated Approach","url":"https://www.academia.edu/Documents/in/Integrated_Approach"},{"id":403511,"name":"Route Choice","url":"https://www.academia.edu/Documents/in/Route_Choice"},{"id":1984794,"name":"Urban Area","url":"https://www.academia.edu/Documents/in/Urban_Area"}],"urls":[{"id":2333951,"url":"http://www.sciencedirect.com/science/article/pii/S1369847808001046"}]}, dispatcherData: dispatcherData }); $(this).data('initialized', true); } }); $a.trackClickSource(".js-work-strip-work-link", "profile_work_strip") }); </script> <div class="js-work-strip profile--work_container" data-work-id="5909819"><div class="profile--work_thumbnail hidden-xs"><a class="js-work-strip-work-link" data-click-track="profile-work-strip-thumbnail" href="https://www.academia.edu/5909819/An_overview_of_road_safety_in_Greece"><img alt="Research paper thumbnail of An overview of road safety in Greece" class="work-thumbnail" src="https://a.academia-assets.com/images/blank-paper.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" href="https://www.academia.edu/5909819/An_overview_of_road_safety_in_Greece">An overview of road safety in Greece</a></div><div class="wp-workCard_item wp-workCard--coauthors"><span>by </span><span><a class="" data-click-track="profile-work-strip-authors" href="https://ntua.academia.edu/GeorgeYannis">George Yannis</a> and <a class="" data-click-track="profile-work-strip-authors" href="https://ntua.academia.edu/JohnGolias">John Golias</a></span></div><div class="wp-workCard_item"><span>Transport Reviews,16 (4), 357-367</span><span>, 1996</span></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">This paper presents an overview of the road safety issue in Greece. First, road fatalities are in...</span><a class="js-work-more-abstract" data-broccoli-component="work_strip.more_abstract" data-click-track="profile-work-strip-more-abstract" href="javascript:;"><span> more </span><span><i class="fa fa-caret-down"></i></span></a><span class="js-work-more-abstract-untruncated hidden">This paper presents an overview of the road safety issue in Greece. First, road fatalities are investigated, and their characteristics and temporal and other variations are analysed. Then the severity of accidents is presented. It is found that the most serious accident types in Greece do not include head on collisions, as expected, but collisions to fixed object or vehicle, pedestrian accidents and coming off the road. Then, a comparison of road accidents in Greece to the fourteen other EU countries is carried out. The trends show that Greece is in one of the worst positions within the EU. Greece seems also to belong to a group of countries, including South European countries and Ireland, which present road safety characteristics significantly different from those of the other EU countries. The reasons for these differences are explained in detail. Finally, the paper proceeds to a description of the safety measures already implemented in Greece, and concludes with recommendations for improving road safety in this country.</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="5909819"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span><span id="work-strip-rankings-button-container"></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="5909819"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 5909819; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=5909819]").text(description); $(".js-view-count[data-work-id=5909819]").attr('title', description).tooltip(); }); });</script></span></span><span><span class="percentile-widget hidden"><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 5909819; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-work-strip[data-work-id='5909819']"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></span><span><script>$(function() { new Works.PaperRankView({ workId: 5909819, container: "", }); });</script></span></div><div id="work-strip-premium-row-container"></div></div></div><script> require.config({ waitSeconds: 90 })(["https://a.academia-assets.com/assets/wow_profile-f77ea15d77ce96025a6048a514272ad8becbad23c641fc2b3bd6e24ca6ff1932.js","https://a.academia-assets.com/assets/work_edit-ad038b8c047c1a8d4fa01b402d530ff93c45fee2137a149a4a5398bc8ad67560.js"], function() { // from javascript_helper.rb var dispatcherData = {} if (false){ window.WowProfile.dispatcher = window.WowProfile.dispatcher || _.clone(Backbone.Events); dispatcherData = { dispatcher: window.WowProfile.dispatcher, downloadLinkId: "-1" } } $('.js-work-strip[data-work-id=5909819]').each(function() { if (!$(this).data('initialized')) { new WowProfile.WorkStripView({ el: this, workJSON: {"id":5909819,"title":"An overview of road safety in Greece","translated_title":"","metadata":{"abstract":"This paper presents an overview of the road safety issue in Greece. 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Greece seems also to belong to a group of countries, including South European countries and Ireland, which present road safety characteristics significantly different from those of the other EU countries. The reasons for these differences are explained in detail. Finally, the paper proceeds to a description of the safety measures already implemented in Greece, and concludes with recommendations for improving road safety in this country.","internal_url":"https://www.academia.edu/5909819/An_overview_of_road_safety_in_Greece","translated_internal_url":"","created_at":"2014-02-01T02:05:48.142-08:00","preview_url":null,"current_user_can_edit":null,"current_user_is_owner":null,"owner_id":8763802,"coauthors_can_edit":true,"document_type":"paper","co_author_tags":[{"id":19115601,"work_id":5909819,"tagging_user_id":8763802,"tagged_user_id":419950,"co_author_invite_id":null,"email":"g***s@gmail.com","affiliation":"National Technical University of Athens","display_order":0,"name":"George Yannis","title":"An overview of road safety in Greece"}],"downloadable_attachments":[],"slug":"An_overview_of_road_safety_in_Greece","translated_slug":"","page_count":null,"language":"en","content_type":"Work","owner":{"id":8763802,"first_name":"John","middle_initials":null,"last_name":"Golias","page_name":"JohnGolias","domain_name":"ntua","created_at":"2014-02-01T01:12:39.447-08:00","display_name":"John Golias","url":"https://ntua.academia.edu/JohnGolias"},"attachments":[],"research_interests":[{"id":20436,"name":"Urban And Regional Planning","url":"https://www.academia.edu/Documents/in/Urban_And_Regional_Planning"}],"urls":[{"id":2334151,"url":"http://dx.doi.org/10.1080/01441649608716959"}]}, dispatcherData: dispatcherData }); $(this).data('initialized', true); } }); $a.trackClickSource(".js-work-strip-work-link", "profile_work_strip") }); </script> <div class="js-work-strip profile--work_container" data-work-id="5909299"><div class="profile--work_thumbnail hidden-xs"><a class="js-work-strip-work-link" data-click-track="profile-work-strip-thumbnail" href="https://www.academia.edu/5909299/Classification_of_driver_assistance_systems_according_to_their_impact_on_road_safety_and_traffic_efficiency"><img alt="Research paper thumbnail of Classification of driver-assistance systems according to their impact on road safety and traffic efficiency" class="work-thumbnail" src="https://attachments.academia-assets.com/49093473/thumbnails/1.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" href="https://www.academia.edu/5909299/Classification_of_driver_assistance_systems_according_to_their_impact_on_road_safety_and_traffic_efficiency">Classification of driver-assistance systems according to their impact on road safety and traffic efficiency</a></div><div class="wp-workCard_item wp-workCard--coauthors"><span>by </span><span><a class="" data-click-track="profile-work-strip-authors" href="https://tum-de.academia.edu/ConstantinosAntoniou">Constantinos Antoniou</a>, <a class="" data-click-track="profile-work-strip-authors" href="https://ntua.academia.edu/JohnGolias">John Golias</a>, and <a class="" data-click-track="profile-work-strip-authors" href="https://ntua.academia.edu/GeorgeYannis">George Yannis</a></span></div><div class="wp-workCard_item"><span>Transport reviews 22 (2), 179-196</span><span>, Jan 2002</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><a id="a40053a70f769e626dd2080ac6cf8bfd" class="wp-workCard--action" rel="nofollow" data-click-track="profile-work-strip-download" data-download="{"attachment_id":49093473,"asset_id":5909299,"asset_type":"Work","button_location":"profile"}" href="https://www.academia.edu/attachments/49093473/download_file?st=MTczMjQwMzkxNyw4LjIyMi4yMDguMTQ2&s=profile"><span><i class="fa fa-arrow-down"></i></span><span>Download</span></a><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="5909299"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span><span id="work-strip-rankings-button-container"></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="5909299"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 5909299; 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A broad overview of a series of driver-assistance systems under development or in some cases already available is presented and it identi®es the basic characteristics of each system and its expected impact on tra c e ciency and road safety. The latter is assessed on the basis of appropriate evaluation criteria. Expert judgement and literature evidence available are used in this context. This impact approach, in contrast with the usually adopted user or system-oriented approaches, allows for more appropriate identi®cation of the priorities in the ®eld of future research, development and promotion of driver-assistance systems. The proposed classi®cation allocates the driver-assistance systems in four diVerent categories on the basis of whether tra c e ciency and safety impact are high or low. This categorization reveals that 40% of the systems considered are expected to have a high safety and low tra c-e ciency impact, while only 15% is expected to have both impacts high. of users of both equipped and non-equipped vehicles, and alleviate accident consequences by in-vehicle intelligent injury-reducing systems .","publication_date":{"day":null,"month":1,"year":2002,"errors":{}},"publication_name":"Transport reviews 22 (2), 179-196","grobid_abstract_attachment_id":49093473},"translated_abstract":null,"internal_url":"https://www.academia.edu/5909299/Classification_of_driver_assistance_systems_according_to_their_impact_on_road_safety_and_traffic_efficiency","translated_internal_url":"","created_at":"2014-02-01T01:13:52.665-08:00","preview_url":null,"current_user_can_edit":null,"current_user_is_owner":null,"owner_id":8763802,"coauthors_can_edit":true,"document_type":"paper","co_author_tags":[{"id":19115521,"work_id":5909299,"tagging_user_id":8763802,"tagged_user_id":152985,"co_author_invite_id":null,"email":"c***s@alum.mit.edu","affiliation":"Technical University of Munich","display_order":0,"name":"Constantinos Antoniou","title":"Classification of driver-assistance systems according to their impact on road safety and traffic efficiency"},{"id":19115596,"work_id":5909299,"tagging_user_id":8763802,"tagged_user_id":419950,"co_author_invite_id":null,"email":"g***s@gmail.com","affiliation":"National Technical University of Athens","display_order":4194304,"name":"George Yannis","title":"Classification of driver-assistance systems according to their impact on road safety and traffic efficiency"}],"downloadable_attachments":[{"id":49093473,"title":"","file_type":"pdf","scribd_thumbnail_url":"https://attachments.academia-assets.com/49093473/thumbnails/1.jpg","file_name":"paper_37.pdf","download_url":"https://www.academia.edu/attachments/49093473/download_file?st=MTczMjQwMzkxNyw4LjIyMi4yMDguMTQ2&","bulk_download_file_name":"Classification_of_driver_assistance_syst.pdf","bulk_download_url":"https://d1wqtxts1xzle7.cloudfront.net/49093473/paper_37-libre.pdf?1474759785=\u0026response-content-disposition=attachment%3B+filename%3DClassification_of_driver_assistance_syst.pdf\u0026Expires=1732407517\u0026Signature=ZMvQrEqPc28AQEkC-Bqn-8b8yVfiZMLnrnM6O4ru53r5BmvjdjzMvY8YXC7C-adwhUcKkoNlhgSnSkUdN4UUwP0vXuFFTHzWjbpvpSwymOpplosXJgT9g3PMFyJYl-yFCzfhJskpOyIvVUNdpt8BE~6U9CGjsLmOlAyKog3rE9A374ndQLCrr0A3GPi~QUgJir0OqynR9wHOq0tm3nMXWsFlMTNR97PgWBJ~iOECcJjEk8JoaHeVvQYE6af3fRLYwgoZx6t0RgypfmdoZLnxW9sz84PHGH1S3H9WoQDcVUiotMEiHexSLOn518Us73KkZ6PcjDXM-eJSyvx7wAsmYQ__\u0026Key-Pair-Id=APKAJLOHF5GGSLRBV4ZA"}],"slug":"Classification_of_driver_assistance_systems_according_to_their_impact_on_road_safety_and_traffic_efficiency","translated_slug":"","page_count":18,"language":"en","content_type":"Work","owner":{"id":8763802,"first_name":"John","middle_initials":null,"last_name":"Golias","page_name":"JohnGolias","domain_name":"ntua","created_at":"2014-02-01T01:12:39.447-08:00","display_name":"John Golias","url":"https://ntua.academia.edu/JohnGolias"},"attachments":[{"id":49093473,"title":"","file_type":"pdf","scribd_thumbnail_url":"https://attachments.academia-assets.com/49093473/thumbnails/1.jpg","file_name":"paper_37.pdf","download_url":"https://www.academia.edu/attachments/49093473/download_file?st=MTczMjQwMzkxNyw4LjIyMi4yMDguMTQ2&","bulk_download_file_name":"Classification_of_driver_assistance_syst.pdf","bulk_download_url":"https://d1wqtxts1xzle7.cloudfront.net/49093473/paper_37-libre.pdf?1474759785=\u0026response-content-disposition=attachment%3B+filename%3DClassification_of_driver_assistance_syst.pdf\u0026Expires=1732407517\u0026Signature=ZMvQrEqPc28AQEkC-Bqn-8b8yVfiZMLnrnM6O4ru53r5BmvjdjzMvY8YXC7C-adwhUcKkoNlhgSnSkUdN4UUwP0vXuFFTHzWjbpvpSwymOpplosXJgT9g3PMFyJYl-yFCzfhJskpOyIvVUNdpt8BE~6U9CGjsLmOlAyKog3rE9A374ndQLCrr0A3GPi~QUgJir0OqynR9wHOq0tm3nMXWsFlMTNR97PgWBJ~iOECcJjEk8JoaHeVvQYE6af3fRLYwgoZx6t0RgypfmdoZLnxW9sz84PHGH1S3H9WoQDcVUiotMEiHexSLOn518Us73KkZ6PcjDXM-eJSyvx7wAsmYQ__\u0026Key-Pair-Id=APKAJLOHF5GGSLRBV4ZA"}],"research_interests":[{"id":2358,"name":"Road safety","url":"https://www.academia.edu/Documents/in/Road_safety"},{"id":20436,"name":"Urban And Regional Planning","url":"https://www.academia.edu/Documents/in/Urban_And_Regional_Planning"},{"id":278365,"name":"Driver Assistance System","url":"https://www.academia.edu/Documents/in/Driver_Assistance_System"}],"urls":[{"id":2333938,"url":"http://www.informaworld.com/openurl?genre=article\u0026doi=10.1080/01441640110091215\u0026magic=crossref%7C%7CD404A21C5BB053405B1A640AFFD44AE3"}]}, dispatcherData: dispatcherData }); $(this).data('initialized', true); } }); $a.trackClickSource(".js-work-strip-work-link", "profile_work_strip") }); </script> <div class="js-work-strip profile--work_container" data-work-id="5909301"><div class="profile--work_thumbnail hidden-xs"><a class="js-work-strip-work-link" data-click-track="profile-work-strip-thumbnail" href="https://www.academia.edu/5909301/Determinants_of_combined_transports_market_share"><img alt="Research paper thumbnail of Determinants of combined transport's market share" class="work-thumbnail" src="https://attachments.academia-assets.com/32891587/thumbnails/1.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" href="https://www.academia.edu/5909301/Determinants_of_combined_transports_market_share">Determinants of combined transport's market share</a></div><div class="wp-workCard_item wp-workCard--coauthors"><span>by </span><span><a class="" data-click-track="profile-work-strip-authors" href="https://ntua.academia.edu/GeorgeYannis">George Yannis</a> and <a class="" data-click-track="profile-work-strip-authors" href="https://ntua.academia.edu/JohnGolias">John Golias</a></span></div><div class="wp-workCard_item"><span>Transport Logistics, Vol. 1, No. 4, pp. 251–264</span><span>, 1998</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><a id="fe3e13e66cde7359af9bee2471e28836" class="wp-workCard--action" rel="nofollow" data-click-track="profile-work-strip-download" data-download="{"attachment_id":32891587,"asset_id":5909301,"asset_type":"Work","button_location":"profile"}" href="https://www.academia.edu/attachments/32891587/download_file?st=MTczMjQwMzkxNyw4LjIyMi4yMDguMTQ2&s=profile"><span><i class="fa fa-arrow-down"></i></span><span>Download</span></a><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="5909301"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span><span id="work-strip-rankings-button-container"></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="5909301"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 5909301; 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Through the development of suitable logit models for the corridor Greece-Italy-Northern Europe, the modal choice decisions are put in a wider framework where cost and time parameters are examined together with parameters concerning transport facilities availability, government subsidies and company structure, leading thus to a more complete insight of how modal choice decisions are taken. Forwarders and carriers were treated separately as the former were found to have a significantly more positive approach towards combined transport than the latter. The analysis showed clearly that due to the limited development of the required infrastructure, the most important parameter affecting the future combined transport market share is the level of financial aid to the transport operators for the purchase of the required combined transport equipment. Furthermore, changes in trip cost, trip time and company annual profit due to combined transport are, as expected, parameters affecting the combined transport market share.","publication_date":{"day":null,"month":null,"year":1998,"errors":{}},"publication_name":"Transport Logistics, Vol. 1, No. 4, pp. 251–264","grobid_abstract_attachment_id":32891587},"translated_abstract":null,"internal_url":"https://www.academia.edu/5909301/Determinants_of_combined_transports_market_share","translated_internal_url":"","created_at":"2014-02-01T01:13:54.236-08:00","preview_url":null,"current_user_can_edit":null,"current_user_is_owner":null,"owner_id":8763802,"coauthors_can_edit":true,"document_type":"paper","co_author_tags":[{"id":19115597,"work_id":5909301,"tagging_user_id":8763802,"tagged_user_id":419950,"co_author_invite_id":null,"email":"g***s@gmail.com","affiliation":"National Technical University of Athens","display_order":0,"name":"George Yannis","title":"Determinants of combined transport's market share"}],"downloadable_attachments":[{"id":32891587,"title":"","file_type":"pdf","scribd_thumbnail_url":"https://attachments.academia-assets.com/32891587/thumbnails/1.jpg","file_name":"paper_25.pdf","download_url":"https://www.academia.edu/attachments/32891587/download_file?st=MTczMjQwMzkxNyw4LjIyMi4yMDguMTQ2&","bulk_download_file_name":"Determinants_of_combined_transports_mark.pdf","bulk_download_url":"https://d1wqtxts1xzle7.cloudfront.net/32891587/paper_25-libre.pdf?1391652847=\u0026response-content-disposition=attachment%3B+filename%3DDeterminants_of_combined_transports_mark.pdf\u0026Expires=1732407517\u0026Signature=ATWWM2ZSBTa1vFIaXNbQiRJf5N8m~k3svPw6rsyXB5kQFSq52qKpjDTN3b19WvpYtJAWJIghdMs7u2~3zbRTVozo-CkLAFox9W~RFjc2ugnaaTcrK6gORR2hxVScGaVAPFHHtw-7glqvASQA6~TL32NqK1y~qU8hLK5GYqLDQDnP3tkk7YXvseTIP5tQaj-gTxUdujJQUWKG2rvIGYH-kmq~4f5RJW85QouhuIWM9c5LESAJ5~S1HwQEQkH~HmKBNuMiSqWPGaPfS0DRvAJI4qWIbE~9j9rj0VXUL5D8p6Evyr6F6kxVte3BJulIAepu8GG9gU6a1M6uVV-LIEmCTQ__\u0026Key-Pair-Id=APKAJLOHF5GGSLRBV4ZA"}],"slug":"Determinants_of_combined_transports_market_share","translated_slug":"","page_count":14,"language":"en","content_type":"Work","owner":{"id":8763802,"first_name":"John","middle_initials":null,"last_name":"Golias","page_name":"JohnGolias","domain_name":"ntua","created_at":"2014-02-01T01:12:39.447-08:00","display_name":"John Golias","url":"https://ntua.academia.edu/JohnGolias"},"attachments":[{"id":32891587,"title":"","file_type":"pdf","scribd_thumbnail_url":"https://attachments.academia-assets.com/32891587/thumbnails/1.jpg","file_name":"paper_25.pdf","download_url":"https://www.academia.edu/attachments/32891587/download_file?st=MTczMjQwMzkxNyw4LjIyMi4yMDguMTQ2&","bulk_download_file_name":"Determinants_of_combined_transports_mark.pdf","bulk_download_url":"https://d1wqtxts1xzle7.cloudfront.net/32891587/paper_25-libre.pdf?1391652847=\u0026response-content-disposition=attachment%3B+filename%3DDeterminants_of_combined_transports_mark.pdf\u0026Expires=1732407517\u0026Signature=ATWWM2ZSBTa1vFIaXNbQiRJf5N8m~k3svPw6rsyXB5kQFSq52qKpjDTN3b19WvpYtJAWJIghdMs7u2~3zbRTVozo-CkLAFox9W~RFjc2ugnaaTcrK6gORR2hxVScGaVAPFHHtw-7glqvASQA6~TL32NqK1y~qU8hLK5GYqLDQDnP3tkk7YXvseTIP5tQaj-gTxUdujJQUWKG2rvIGYH-kmq~4f5RJW85QouhuIWM9c5LESAJ5~S1HwQEQkH~HmKBNuMiSqWPGaPfS0DRvAJI4qWIbE~9j9rj0VXUL5D8p6Evyr6F6kxVte3BJulIAepu8GG9gU6a1M6uVV-LIEmCTQ__\u0026Key-Pair-Id=APKAJLOHF5GGSLRBV4ZA"}],"research_interests":[{"id":2953,"name":"Transport Logistics","url":"https://www.academia.edu/Documents/in/Transport_Logistics"},{"id":72667,"name":"Behaviour","url":"https://www.academia.edu/Documents/in/Behaviour"},{"id":121035,"name":"Profitability","url":"https://www.academia.edu/Documents/in/Profitability"},{"id":414736,"name":"Stated Preference","url":"https://www.academia.edu/Documents/in/Stated_Preference"},{"id":466041,"name":"Market Share","url":"https://www.academia.edu/Documents/in/Market_Share"},{"id":491489,"name":"Freight Transport","url":"https://www.academia.edu/Documents/in/Freight_Transport"},{"id":1137643,"name":"Choice Modelling","url":"https://www.academia.edu/Documents/in/Choice_Modelling"},{"id":1641070,"name":"Logit Model","url":"https://www.academia.edu/Documents/in/Logit_Model"}],"urls":[{"id":2333940,"url":"http://users.ntua.gr/igolias/papers/paper_25.pdf"}]}, dispatcherData: dispatcherData }); $(this).data('initialized', true); } }); $a.trackClickSource(".js-work-strip-work-link", "profile_work_strip") }); </script> <div class="js-work-strip profile--work_container" data-work-id="5916956"><div class="profile--work_thumbnail hidden-xs"><a class="js-work-strip-work-link" data-click-track="profile-work-strip-thumbnail" href="https://www.academia.edu/5916956/Travel_patterns_of_three_distinct_driver_age_groups_in_Greece"><img alt="Research paper thumbnail of Travel patterns of three distinct driver age groups in Greece" class="work-thumbnail" src="https://a.academia-assets.com/images/blank-paper.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" href="https://www.academia.edu/5916956/Travel_patterns_of_three_distinct_driver_age_groups_in_Greece">Travel patterns of three distinct driver age groups in Greece</a></div><div class="wp-workCard_item wp-workCard--coauthors"><span>by </span><span><a class="" data-click-track="profile-work-strip-authors" href="https://independent.academia.edu/IoannaSpyropoulou">Ioanna Spyropoulou</a>, <a class="" data-click-track="profile-work-strip-authors" href="https://ntua.academia.edu/JohnGolias">John Golias</a>, and <a class="" data-click-track="profile-work-strip-authors" href="https://ntua.academia.edu/GeorgeYannis">George Yannis</a></span></div><div class="wp-workCard_item"><span>Proceedings of The Institution of Civil Engineers-transport</span><span>, 2007</span></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">Résumé/Abstract Within this research the travel patterns of passenger car drivers are investigate...</span><a class="js-work-more-abstract" data-broccoli-component="work_strip.more_abstract" data-click-track="profile-work-strip-more-abstract" href="javascript:;"><span> more </span><span><i class="fa fa-caret-down"></i></span></a><span class="js-work-more-abstract-untruncated hidden">Résumé/Abstract Within this research the travel patterns of passenger car drivers are investigated in relation to their age, as recorded from a national travel survey conducted in Greece. For the needs of this research drivers are classified into three mutually exclusive age groups: young (18-24), adult (25-64) and elderly (65+). The mobility of these three driver groups-expressed in terms of average annual distance driven-is then investigated with respect to parameters involving driver characteristics (experience, gender), vehicle ...</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="5916956"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span><span id="work-strip-rankings-button-container"></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="5916956"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 5916956; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=5916956]").text(description); $(".js-view-count[data-work-id=5916956]").attr('title', description).tooltip(); }); });</script></span></span><span><span class="percentile-widget hidden"><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 5916956; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-work-strip[data-work-id='5916956']"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></span><span><script>$(function() { new Works.PaperRankView({ workId: 5916956, container: "", }); });</script></span></div><div id="work-strip-premium-row-container"></div></div></div><script> require.config({ waitSeconds: 90 })(["https://a.academia-assets.com/assets/wow_profile-f77ea15d77ce96025a6048a514272ad8becbad23c641fc2b3bd6e24ca6ff1932.js","https://a.academia-assets.com/assets/work_edit-ad038b8c047c1a8d4fa01b402d530ff93c45fee2137a149a4a5398bc8ad67560.js"], function() { // from javascript_helper.rb var dispatcherData = {} if (false){ window.WowProfile.dispatcher = window.WowProfile.dispatcher || _.clone(Backbone.Events); dispatcherData = { dispatcher: window.WowProfile.dispatcher, downloadLinkId: "-1" } } $('.js-work-strip[data-work-id=5916956]').each(function() { if (!$(this).data('initialized')) { new WowProfile.WorkStripView({ el: this, workJSON: {"id":5916956,"title":"Travel patterns of three distinct driver age groups in Greece","translated_title":"","metadata":{"abstract":"Résumé/Abstract Within this research the travel patterns of passenger car drivers are investigated in relation to their age, as recorded from a national travel survey conducted in Greece. 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The mobility of these three driver groups-expressed in terms of average annual distance driven-is then investigated with respect to parameters involving driver characteristics (experience, gender), vehicle ...","internal_url":"https://www.academia.edu/5916956/Travel_patterns_of_three_distinct_driver_age_groups_in_Greece","translated_internal_url":"","created_at":"2014-02-01T22:12:44.301-08:00","preview_url":null,"current_user_can_edit":null,"current_user_is_owner":null,"owner_id":8763802,"coauthors_can_edit":true,"document_type":"paper","co_author_tags":[{"id":19115531,"work_id":5916956,"tagging_user_id":8763802,"tagged_user_id":34612234,"co_author_invite_id":null,"email":"i***p@central.ntua.gr","display_order":0,"name":"Ioanna Spyropoulou","title":"Travel patterns of three distinct driver age groups in Greece"},{"id":19115562,"work_id":5916956,"tagging_user_id":8763802,"tagged_user_id":8629424,"co_author_invite_id":null,"email":"n***i@gmail.com","display_order":4194304,"name":"Eleonora Papadimitriou","title":"Travel patterns of three distinct driver age groups in Greece"},{"id":19115604,"work_id":5916956,"tagging_user_id":8763802,"tagged_user_id":419950,"co_author_invite_id":null,"email":"g***s@gmail.com","affiliation":"National Technical University of Athens","display_order":6291456,"name":"George Yannis","title":"Travel patterns of three distinct driver age groups in Greece"}],"downloadable_attachments":[],"slug":"Travel_patterns_of_three_distinct_driver_age_groups_in_Greece","translated_slug":"","page_count":null,"language":"en","content_type":"Work","owner":{"id":8763802,"first_name":"John","middle_initials":null,"last_name":"Golias","page_name":"JohnGolias","domain_name":"ntua","created_at":"2014-02-01T01:12:39.447-08:00","display_name":"John Golias","url":"https://ntua.academia.edu/JohnGolias"},"attachments":[],"research_interests":[{"id":73,"name":"Civil Engineering","url":"https://www.academia.edu/Documents/in/Civil_Engineering"},{"id":60194,"name":"Transport","url":"https://www.academia.edu/Documents/in/Transport"},{"id":1470936,"name":"Age Groups","url":"https://www.academia.edu/Documents/in/Age_Groups"}],"urls":[{"id":2337613,"url":"http://www.icevirtuallibrary.com/content/article/10.1680/tran.2007.160.3.117"}]}, dispatcherData: dispatcherData }); $(this).data('initialized', true); } }); $a.trackClickSource(".js-work-strip-work-link", "profile_work_strip") }); </script> <div class="js-work-strip profile--work_container" data-work-id="5909294"><div class="profile--work_thumbnail hidden-xs"><a class="js-work-strip-work-link" data-click-track="profile-work-strip-thumbnail" href="https://www.academia.edu/5909294/Modeling_Crossing_Behavior_and_Accident_Risk_of_Pedestrians"><img alt="Research paper thumbnail of Modeling Crossing Behavior and Accident Risk of Pedestrians" class="work-thumbnail" src="https://a.academia-assets.com/images/blank-paper.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" href="https://www.academia.edu/5909294/Modeling_Crossing_Behavior_and_Accident_Risk_of_Pedestrians">Modeling Crossing Behavior and Accident Risk of Pedestrians</a></div><div class="wp-workCard_item wp-workCard--coauthors"><span>by </span><span><a class="" data-click-track="profile-work-strip-authors" href="https://ntua.academia.edu/JohnGolias">John Golias</a> and <a class="" data-click-track="profile-work-strip-authors" href="https://ntua.academia.edu/GeorgeYannis">George Yannis</a></span></div><div class="wp-workCard_item"><span>Journal of Transportation Engineering-asce</span><span>, 2007</span></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">This paper presents a methodology for modeling pedestrians&amp;amp;amp;amp;amp;amp;amp;#x27; cros...</span><a class="js-work-more-abstract" data-broccoli-component="work_strip.more_abstract" data-click-track="profile-work-strip-more-abstract" href="javascript:;"><span> more </span><span><i class="fa fa-caret-down"></i></span></a><span class="js-work-more-abstract-untruncated hidden">This paper presents a methodology for modeling pedestrians&amp;amp;amp;amp;amp;amp;amp;#x27; crossing behavior along an urban trip, as well as an algorithm for the estimation of accident risk along the trip. For that purpose, existing models are exploited and further developed. In particular, a nested logit model and a linear regression model are merged and adapted to develop a hierarchical crossing behavior model, allowing for the estimation of a distribution of crossing probabilities on an urban road link among junctions and various midblock locations. The explanatory ...</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="5909294"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span><span id="work-strip-rankings-button-container"></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="5909294"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 5909294; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=5909294]").text(description); $(".js-view-count[data-work-id=5909294]").attr('title', description).tooltip(); }); });</script></span></span><span><span class="percentile-widget hidden"><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 5909294; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-work-strip[data-work-id='5909294']"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></span><span><script>$(function() { new Works.PaperRankView({ workId: 5909294, container: "", }); });</script></span></div><div id="work-strip-premium-row-container"></div></div></div><script> require.config({ waitSeconds: 90 })(["https://a.academia-assets.com/assets/wow_profile-f77ea15d77ce96025a6048a514272ad8becbad23c641fc2b3bd6e24ca6ff1932.js","https://a.academia-assets.com/assets/work_edit-ad038b8c047c1a8d4fa01b402d530ff93c45fee2137a149a4a5398bc8ad67560.js"], function() { // from javascript_helper.rb var dispatcherData = {} if (false){ window.WowProfile.dispatcher = window.WowProfile.dispatcher || _.clone(Backbone.Events); dispatcherData = { dispatcher: window.WowProfile.dispatcher, downloadLinkId: "-1" } } $('.js-work-strip[data-work-id=5909294]').each(function() { if (!$(this).data('initialized')) { new WowProfile.WorkStripView({ el: this, workJSON: {"id":5909294,"title":"Modeling Crossing Behavior and Accident Risk of Pedestrians","translated_title":"","metadata":{"abstract":"This paper presents a methodology for modeling pedestrians\u0026amp;amp;amp;amp;amp;amp;amp;#x27; crossing behavior along an urban trip, as well as an algorithm for the estimation of accident risk along the trip. 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Although there is a significant difference in SSD values between upgrades and downgrades, many Design Policies ignore the grade effect during vehicle braking on variable grades. Such a case is experienced during the determination of crest vertical curvature rates where the relevant SSD values are extracted assuming leveled road geometry. The paper investigates possible deficiency of this approach, regarding cases where the length of the vertical curve exceeds the control SSD values. The authors addressed the SSD calculation on variable grades during the braking process through a recently developed process that relates the point mass model and the laws of mechanics. For a wide range of design speed values, charts illustrating the required SSDs were drawn as a function of negative ending grade values related to control crest vertical curve rates, as adopted by AASHTO. The process revealed numerous SSD shortage areas, where the authors provided revised crest vertical curvature rates, in order to grant SSD adequacy throughout the vehicles’ breaking process. Furthermore, the authors aiming to provide the designers with ready-to-use vertical design tool associated the amended vertical curvature rates to AASHTO’s road functional classification, as a function of the crest vertical curve’s exit grade value.</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="17224449"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span><span id="work-strip-rankings-button-container"></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="17224449"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 17224449; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=17224449]").text(description); $(".js-view-count[data-work-id=17224449]").attr('title', description).tooltip(); }); });</script></span></span><span><span class="percentile-widget hidden"><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 17224449; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-work-strip[data-work-id='17224449']"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></span><span><script>$(function() { new Works.PaperRankView({ workId: 17224449, container: "", }); });</script></span></div><div id="work-strip-premium-row-container"></div></div></div><script> require.config({ waitSeconds: 90 })(["https://a.academia-assets.com/assets/wow_profile-f77ea15d77ce96025a6048a514272ad8becbad23c641fc2b3bd6e24ca6ff1932.js","https://a.academia-assets.com/assets/work_edit-ad038b8c047c1a8d4fa01b402d530ff93c45fee2137a149a4a5398bc8ad67560.js"], function() { // from javascript_helper.rb var dispatcherData = {} if (false){ window.WowProfile.dispatcher = window.WowProfile.dispatcher || _.clone(Backbone.Events); dispatcherData = { dispatcher: window.WowProfile.dispatcher, downloadLinkId: "-1" } } $('.js-work-strip[data-work-id=17224449]').each(function() { if (!$(this).data('initialized')) { new WowProfile.WorkStripView({ el: this, workJSON: {"id":17224449,"title":"CONTROLLING CREST VERTICAL CURVATURE RATES BASED ON VARIABLE GRADE STOPPING SIGHT DISTANCE CALCULATION","translated_title":"","metadata":{"abstract":"ABSTRACT Stopping Sight Distance (SSD) is a key control element which directly affects the suggested values of crucial road design parameters. Although there is a significant difference in SSD values between upgrades and downgrades, many Design Policies ignore the grade effect during vehicle braking on variable grades. Such a case is experienced during the determination of crest vertical curvature rates where the relevant SSD values are extracted assuming leveled road geometry. The paper investigates possible deficiency of this approach, regarding cases where the length of the vertical curve exceeds the control SSD values. The authors addressed the SSD calculation on variable grades during the braking process through a recently developed process that relates the point mass model and the laws of mechanics. For a wide range of design speed values, charts illustrating the required SSDs were drawn as a function of negative ending grade values related to control crest vertical curve rates, as adopted by AASHTO. The process revealed numerous SSD shortage areas, where the authors provided revised crest vertical curvature rates, in order to grant SSD adequacy throughout the vehicles’ breaking process. Furthermore, the authors aiming to provide the designers with ready-to-use vertical design tool associated the amended vertical curvature rates to AASHTO’s road functional classification, as a function of the crest vertical curve’s exit grade value."},"translated_abstract":"ABSTRACT Stopping Sight Distance (SSD) is a key control element which directly affects the suggested values of crucial road design parameters. Although there is a significant difference in SSD values between upgrades and downgrades, many Design Policies ignore the grade effect during vehicle braking on variable grades. Such a case is experienced during the determination of crest vertical curvature rates where the relevant SSD values are extracted assuming leveled road geometry. The paper investigates possible deficiency of this approach, regarding cases where the length of the vertical curve exceeds the control SSD values. The authors addressed the SSD calculation on variable grades during the braking process through a recently developed process that relates the point mass model and the laws of mechanics. For a wide range of design speed values, charts illustrating the required SSDs were drawn as a function of negative ending grade values related to control crest vertical curve rates, as adopted by AASHTO. The process revealed numerous SSD shortage areas, where the authors provided revised crest vertical curvature rates, in order to grant SSD adequacy throughout the vehicles’ breaking process. Furthermore, the authors aiming to provide the designers with ready-to-use vertical design tool associated the amended vertical curvature rates to AASHTO’s road functional classification, as a function of the crest vertical curve’s exit grade value.","internal_url":"https://www.academia.edu/17224449/CONTROLLING_CREST_VERTICAL_CURVATURE_RATES_BASED_ON_VARIABLE_GRADE_STOPPING_SIGHT_DISTANCE_CALCULATION","translated_internal_url":"","created_at":"2015-10-23T13:01:39.879-07:00","preview_url":null,"current_user_can_edit":null,"current_user_is_owner":null,"owner_id":28364511,"coauthors_can_edit":true,"document_type":"paper","co_author_tags":[{"id":7860975,"work_id":17224449,"tagging_user_id":28364511,"tagged_user_id":28474562,"co_author_invite_id":null,"email":"n***t@engr.uky.edu","display_order":0,"name":"Nikiforos Stamatiadis","title":"CONTROLLING CREST VERTICAL CURVATURE RATES BASED ON VARIABLE GRADE STOPPING SIGHT DISTANCE CALCULATION"},{"id":11849861,"work_id":17224449,"tagging_user_id":28364511,"tagged_user_id":32014899,"co_author_invite_id":null,"email":"s***s@gmail.com","display_order":4194304,"name":"Stergios Mavromatis","title":"CONTROLLING CREST VERTICAL CURVATURE RATES BASED ON VARIABLE GRADE STOPPING SIGHT DISTANCE CALCULATION"},{"id":29768397,"work_id":17224449,"tagging_user_id":28364511,"tagged_user_id":419950,"co_author_invite_id":null,"email":"g***s@gmail.com","affiliation":"National Technical University of Athens","display_order":6291456,"name":"George Yannis","title":"CONTROLLING CREST VERTICAL CURVATURE RATES BASED ON VARIABLE GRADE STOPPING SIGHT DISTANCE CALCULATION"}],"downloadable_attachments":[],"slug":"CONTROLLING_CREST_VERTICAL_CURVATURE_RATES_BASED_ON_VARIABLE_GRADE_STOPPING_SIGHT_DISTANCE_CALCULATION","translated_slug":"","page_count":null,"language":"en","content_type":"Work","owner":{"id":28364511,"first_name":"Basil","middle_initials":null,"last_name":"Psarianos","page_name":"BasilPsarianos","domain_name":"ntua","created_at":"2015-03-23T12:42:26.134-07:00","display_name":"Basil Psarianos","url":"https://ntua.academia.edu/BasilPsarianos"},"attachments":[],"research_interests":[],"urls":[]}, dispatcherData: dispatcherData }); $(this).data('initialized', true); } }); $a.trackClickSource(".js-work-strip-work-link", "profile_work_strip") }); </script> <div class="js-work-strip profile--work_container" data-work-id="33425479"><div class="profile--work_thumbnail hidden-xs"><a class="js-work-strip-work-link" data-click-track="profile-work-strip-thumbnail" rel="nofollow" href="https://www.academia.edu/33425479/Prediction_of_driving_performance_in_patients_with_Parkinson_s_disease_preliminary_findings_on_the_role_of_the_Comprehensive_Trail_Making_test"><img alt="Research paper thumbnail of Prediction of driving performance in patients with Parkinson’s disease: preliminary findings on the role of the Comprehensive Trail Making test" class="work-thumbnail" src="https://a.academia-assets.com/images/blank-paper.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" rel="nofollow" href="https://www.academia.edu/33425479/Prediction_of_driving_performance_in_patients_with_Parkinson_s_disease_preliminary_findings_on_the_role_of_the_Comprehensive_Trail_Making_test">Prediction of driving performance in patients with Parkinson’s disease: preliminary findings on the role of the Comprehensive Trail Making test</a></div><div class="wp-workCard_item wp-workCard--coauthors"><span>by </span><span><a class="" data-click-track="profile-work-strip-authors" href="https://nsph.academia.edu/AthanasiaLiozidou">Athanasia Liozidou</a> and <a class="" data-click-track="profile-work-strip-authors" href="https://ntua.academia.edu/GeorgeYannis">George Yannis</a></span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="33425479"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span><span id="work-strip-rankings-button-container"></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="33425479"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 33425479; 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Papageorgiou","title":"Prediction of driving performance in patients with Parkinson’s disease: preliminary findings on the role of the Comprehensive Trail Making test"},{"id":29303438,"work_id":33425479,"tagging_user_id":32841172,"tagged_user_id":22419354,"co_author_invite_id":null,"email":"n***s@yahoo.gr","affiliation":"University General Hospital Attikon","display_order":8126464,"name":"Nikos Andronas","title":"Prediction of driving performance in patients with Parkinson’s disease: preliminary findings on the role of the Comprehensive Trail Making test"}],"downloadable_attachments":[],"slug":"Prediction_of_driving_performance_in_patients_with_Parkinson_s_disease_preliminary_findings_on_the_role_of_the_Comprehensive_Trail_Making_test","translated_slug":"","page_count":null,"language":"en","content_type":"Work","owner":{"id":32841172,"first_name":"Athanasia","middle_initials":null,"last_name":"Liozidou","page_name":"AthanasiaLiozidou","domain_name":"nsph","created_at":"2015-07-06T09:51:17.310-07:00","display_name":"Athanasia Liozidou","url":"https://nsph.academia.edu/AthanasiaLiozidou"},"attachments":[],"research_interests":[],"urls":[]}, dispatcherData: dispatcherData }); $(this).data('initialized', true); } }); $a.trackClickSource(".js-work-strip-work-link", "profile_work_strip") }); </script> <div class="js-work-strip profile--work_container" data-work-id="33425478"><div class="profile--work_thumbnail hidden-xs"><a class="js-work-strip-work-link" data-click-track="profile-work-strip-thumbnail" href="https://www.academia.edu/33425478/Effects_of_cerebral_diseases_on_driver_distraction"><img alt="Research paper thumbnail of Effects of cerebral diseases on driver distraction" class="work-thumbnail" src="https://attachments.academia-assets.com/53476654/thumbnails/1.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" href="https://www.academia.edu/33425478/Effects_of_cerebral_diseases_on_driver_distraction">Effects of cerebral diseases on driver distraction</a></div><div class="wp-workCard_item wp-workCard--coauthors"><span>by </span><span><a class="" data-click-track="profile-work-strip-authors" href="https://nsph.academia.edu/AthanasiaLiozidou">Athanasia Liozidou</a> and <a class="" data-click-track="profile-work-strip-authors" href="https://ntua.academia.edu/GeorgeYannis">George Yannis</a></span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><a id="d6a4fae98fbf98c29a0cff625f8461a0" class="wp-workCard--action" rel="nofollow" data-click-track="profile-work-strip-download" data-download="{"attachment_id":53476654,"asset_id":33425478,"asset_type":"Work","button_location":"profile"}" href="https://www.academia.edu/attachments/53476654/download_file?st=MTczMjQwMzkxNyw4LjIyMi4yMDguMTQ2&st=MTczMjQwMzkxNyw4LjIyMi4yMDguMTQ2&s=profile"><span><i class="fa fa-arrow-down"></i></span><span>Download</span></a><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="33425478"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span><span id="work-strip-rankings-button-container"></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="33425478"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 33425478; 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Driver distraction, defined as the diversion of attention away from activities critical for safe driving toward a competing activity, is found to be an important cause of road accidents. Driver distraction effects may interfere with several cerebral diseases with high prevalence in the general population, such as cerebral incidents, Parkinson's, Alzheimer's, Mild Dementia and Mild Cognitive Impairment. These diseases affect driver's attention and other cognitive functions and cause degradation in driving performance, which might in turn translate into increased accident risk, especially at the presence of additional (external) distractors. Overall, the literature review confirms that the interaction between driver distraction and cerebral diseases downgrades the driving performance. The degree to which these clinical conditions affect accident risk, especially when unexpected incidents take place, and the driver's response, need further investigation.","grobid_abstract_attachment_id":53476654},"translated_abstract":null,"internal_url":"https://www.academia.edu/33425478/Effects_of_cerebral_diseases_on_driver_distraction","translated_internal_url":"","created_at":"2017-06-12T10:05:20.943-07:00","preview_url":null,"current_user_can_edit":null,"current_user_is_owner":null,"owner_id":32841172,"coauthors_can_edit":true,"document_type":"paper","co_author_tags":[{"id":29303420,"work_id":33425478,"tagging_user_id":32841172,"tagged_user_id":32790404,"co_author_invite_id":null,"email":"a***n@otenet.gr","affiliation":"National \u0026 Kapodistrian University of Athens","display_order":0,"name":"Alexandra Economou","title":"Effects of cerebral diseases on driver distraction"},{"id":29303422,"work_id":33425478,"tagging_user_id":32841172,"tagged_user_id":419950,"co_author_invite_id":null,"email":"g***s@gmail.com","affiliation":"National Technical University of Athens","display_order":4194304,"name":"George Yannis","title":"Effects of cerebral diseases on driver distraction"},{"id":29303425,"work_id":33425478,"tagging_user_id":32841172,"tagged_user_id":50390153,"co_author_invite_id":null,"email":"i***6@hotmail.com","display_order":6291456,"name":"I. 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$(this).data('initialized', true); } }); $a.trackClickSource(".js-work-strip-work-link", "profile_work_strip") }); </script> <div class="js-work-strip profile--work_container" data-work-id="33172062"><div class="profile--work_thumbnail hidden-xs"><a class="js-work-strip-work-link" data-click-track="profile-work-strip-thumbnail" href="https://www.academia.edu/33172062/Stopping_sight_distance_adequacy_assessment_on_freeways_the_case_of_left_horizontal_curves_over_crest_vertical_curves"><img alt="Research paper thumbnail of Stopping sight distance adequacy assessment on freeways: the case of left horizontal curves over crest vertical curves" class="work-thumbnail" src="https://attachments.academia-assets.com/63666215/thumbnails/1.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" href="https://www.academia.edu/33172062/Stopping_sight_distance_adequacy_assessment_on_freeways_the_case_of_left_horizontal_curves_over_crest_vertical_curves">Stopping sight distance adequacy assessment on freeways: the case of left horizontal curves over crest vertical curves</a></div><div class="wp-workCard_item wp-workCard--coauthors"><span>by </span><span><a class="" data-click-track="profile-work-strip-authors" href="https://ntua.academia.edu/BasilPsarianos">Basil Psarianos</a> and <a class="" data-click-track="profile-work-strip-authors" href="https://ntua.academia.edu/GeorgeYannis">George Yannis</a></span></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">This paper investigates potential Stopping Sight Distance (SSD) violation for 130km/h vehicle spe...</span><a class="js-work-more-abstract" data-broccoli-component="work_strip.more_abstract" data-click-track="profile-work-strip-more-abstract" href="javascript:;"><span> more </span><span><i class="fa fa-caret-down"></i></span></a><span class="js-work-more-abstract-untruncated hidden">This paper investigates potential Stopping Sight Distance (SSD) violation for 130km/h<br />vehicle speed, on the passing lane of divided highways at left horizontal curves<br />overlapped with crest vertical curves. The authors previously developed a SSD control<br />methodology that relates concurrently the 3D configuration of a roadway to the<br />dynamics of a vehicle moving along the actual roadway path. This methodology is<br />applied for the assessment of critical design parameters directly related to both<br />demanded and available SSD values. Initially, by utilizing control geometric and driver -<br />obstacle values adopted by AASHTO 2011 design policy, excessive SSD inadequacy<br />areas were revealed. Subsequently, on the basis of a classic statistical and<br />explanatory modeling approach for a number of geometry parameters, an evaluation of<br />SSD sufficiency was carried out in terms of both the probability of SSD inadequacy and<br />the prediction of the object height in order to grant SSD adequacy (amended object<br />height). These models may be useful to researchers and practitioners aiming to<br />evaluate the interaction of the utilized design parameters in terms of the presence and<br />the extent of SSD inadequacy. The results suggested that the probability modelling<br />approach was efficient, yielding a model which enables to correctly assess SSD<br />adequacy (by more than 94%) in such 3D road alignments. The lognormal modelling<br />approach for the prediction of the amended object height (AOH) was proved somewhat<br />less accurate when the AOH exceeds 1 metre, and further analysis is required in order<br />to fully investigate the non-linear relationships between the examined variables and the<br />amended object height.</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><a id="e57bfae025fb9f2e23c8eee80df52da0" class="wp-workCard--action" rel="nofollow" data-click-track="profile-work-strip-download" data-download="{"attachment_id":63666215,"asset_id":33172062,"asset_type":"Work","button_location":"profile"}" href="https://www.academia.edu/attachments/63666215/download_file?st=MTczMjQwMzkxNyw4LjIyMi4yMDguMTQ2&st=MTczMjQwMzkxNyw4LjIyMi4yMDguMTQ2&s=profile"><span><i class="fa fa-arrow-down"></i></span><span>Download</span></a><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="33172062"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span><span id="work-strip-rankings-button-container"></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="33172062"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 33172062; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=33172062]").text(description); $(".js-view-count[data-work-id=33172062]").attr('title', description).tooltip(); }); });</script></span></span><span><span class="percentile-widget hidden"><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 33172062; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-work-strip[data-work-id='33172062']"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></span><span><script>$(function() { new Works.PaperRankView({ workId: 33172062, container: "", }); });</script></span></div><div id="work-strip-premium-row-container"></div></div></div><script> require.config({ waitSeconds: 90 })(["https://a.academia-assets.com/assets/wow_profile-f77ea15d77ce96025a6048a514272ad8becbad23c641fc2b3bd6e24ca6ff1932.js","https://a.academia-assets.com/assets/work_edit-ad038b8c047c1a8d4fa01b402d530ff93c45fee2137a149a4a5398bc8ad67560.js"], function() { // from javascript_helper.rb var dispatcherData = {} if (true){ window.WowProfile.dispatcher = window.WowProfile.dispatcher || _.clone(Backbone.Events); dispatcherData = { dispatcher: window.WowProfile.dispatcher, downloadLinkId: "e57bfae025fb9f2e23c8eee80df52da0" } } $('.js-work-strip[data-work-id=33172062]').each(function() { if (!$(this).data('initialized')) { new WowProfile.WorkStripView({ el: this, workJSON: {"id":33172062,"title":"Stopping sight distance adequacy assessment on freeways: the case of left horizontal curves over crest vertical curves","translated_title":"","metadata":{"abstract":"This paper investigates potential Stopping Sight Distance (SSD) violation for 130km/h\nvehicle speed, on the passing lane of divided highways at left horizontal curves\noverlapped with crest vertical curves. The authors previously developed a SSD control\nmethodology that relates concurrently the 3D configuration of a roadway to the\ndynamics of a vehicle moving along the actual roadway path. This methodology is\napplied for the assessment of critical design parameters directly related to both\ndemanded and available SSD values. Initially, by utilizing control geometric and driver -\nobstacle values adopted by AASHTO 2011 design policy, excessive SSD inadequacy\nareas were revealed. Subsequently, on the basis of a classic statistical and\nexplanatory modeling approach for a number of geometry parameters, an evaluation of\nSSD sufficiency was carried out in terms of both the probability of SSD inadequacy and\nthe prediction of the object height in order to grant SSD adequacy (amended object\nheight). These models may be useful to researchers and practitioners aiming to\nevaluate the interaction of the utilized design parameters in terms of the presence and\nthe extent of SSD inadequacy. The results suggested that the probability modelling\napproach was efficient, yielding a model which enables to correctly assess SSD\nadequacy (by more than 94%) in such 3D road alignments. The lognormal modelling\napproach for the prediction of the amended object height (AOH) was proved somewhat\nless accurate when the AOH exceeds 1 metre, and further analysis is required in order\nto fully investigate the non-linear relationships between the examined variables and the\namended object height."},"translated_abstract":"This paper investigates potential Stopping Sight Distance (SSD) violation for 130km/h\nvehicle speed, on the passing lane of divided highways at left horizontal curves\noverlapped with crest vertical curves. The authors previously developed a SSD control\nmethodology that relates concurrently the 3D configuration of a roadway to the\ndynamics of a vehicle moving along the actual roadway path. This methodology is\napplied for the assessment of critical design parameters directly related to both\ndemanded and available SSD values. Initially, by utilizing control geometric and driver -\nobstacle values adopted by AASHTO 2011 design policy, excessive SSD inadequacy\nareas were revealed. Subsequently, on the basis of a classic statistical and\nexplanatory modeling approach for a number of geometry parameters, an evaluation of\nSSD sufficiency was carried out in terms of both the probability of SSD inadequacy and\nthe prediction of the object height in order to grant SSD adequacy (amended object\nheight). These models may be useful to researchers and practitioners aiming to\nevaluate the interaction of the utilized design parameters in terms of the presence and\nthe extent of SSD inadequacy. The results suggested that the probability modelling\napproach was efficient, yielding a model which enables to correctly assess SSD\nadequacy (by more than 94%) in such 3D road alignments. The lognormal modelling\napproach for the prediction of the amended object height (AOH) was proved somewhat\nless accurate when the AOH exceeds 1 metre, and further analysis is required in order\nto fully investigate the non-linear relationships between the examined variables and the\namended object height.","internal_url":"https://www.academia.edu/33172062/Stopping_sight_distance_adequacy_assessment_on_freeways_the_case_of_left_horizontal_curves_over_crest_vertical_curves","translated_internal_url":"","created_at":"2017-05-24T01:45:58.604-07:00","preview_url":null,"current_user_can_edit":null,"current_user_is_owner":null,"owner_id":28364511,"coauthors_can_edit":true,"document_type":"paper","co_author_tags":[{"id":29080356,"work_id":33172062,"tagging_user_id":28364511,"tagged_user_id":32014899,"co_author_invite_id":null,"email":"s***s@gmail.com","display_order":0,"name":"Stergios Mavromatis","title":"Stopping sight distance adequacy assessment on freeways: the case of left horizontal curves over crest vertical curves"},{"id":29080357,"work_id":33172062,"tagging_user_id":28364511,"tagged_user_id":8629424,"co_author_invite_id":null,"email":"n***i@gmail.com","display_order":4194304,"name":"Eleonora Papadimitriou","title":"Stopping sight distance adequacy assessment on freeways: the case of left horizontal curves over crest vertical curves"},{"id":29080358,"work_id":33172062,"tagging_user_id":28364511,"tagged_user_id":419950,"co_author_invite_id":null,"email":"g***s@gmail.com","affiliation":"National Technical University of Athens","display_order":6291456,"name":"George Yannis","title":"Stopping sight distance adequacy assessment on freeways: the case of left horizontal curves over crest vertical curves"}],"downloadable_attachments":[{"id":63666215,"title":"","file_type":"pdf","scribd_thumbnail_url":"https://attachments.academia-assets.com/63666215/thumbnails/1.jpg","file_name":"TRL530_R1_1.pdf","download_url":"https://www.academia.edu/attachments/63666215/download_file?st=MTczMjQwMzkxNyw4LjIyMi4yMDguMTQ2&st=MTczMjQwMzkxNyw4LjIyMi4yMDguMTQ2&","bulk_download_file_name":"Stopping_sight_distance_adequacy_assessm.pdf","bulk_download_url":"https://d1wqtxts1xzle7.cloudfront.net/63666215/TRL530_R1_1-libre.pdf?1592476207=\u0026response-content-disposition=attachment%3B+filename%3DStopping_sight_distance_adequacy_assessm.pdf\u0026Expires=1732407517\u0026Signature=IcMAenYi6lR4HmvSWvO8DgxRw56yZCdUVLsByzR3r1V3GmsmT7LmFNIZCpCt6srK62yPzwTazBg~JvLoxPfOrcx0dfJKoIG20QTjlxl95LBC--tH6luXyD-ucWRnSfqxkdlwDMDQoRGua~IjLT7S5vZyEGRF9R9mFZFNZOBiM3NbNNBkOys9JHtFrrSTUkL45A47sUinTNuQ9Ywca4u5OvDj7tYLOpXc4C6BG6Mby9sg7OanTeQ91oyChFZYRIU~dD5ErmuHxtY~uU9RsPd02hnsCR6n0xItkHh9PK71YWaPcz~8PH7FbqkYVR4U90TqBFIG83O4YjiCwR5FD95oCQ__\u0026Key-Pair-Id=APKAJLOHF5GGSLRBV4ZA"}],"slug":"Stopping_sight_distance_adequacy_assessment_on_freeways_the_case_of_left_horizontal_curves_over_crest_vertical_curves","translated_slug":"","page_count":29,"language":"en","content_type":"Work","owner":{"id":28364511,"first_name":"Basil","middle_initials":null,"last_name":"Psarianos","page_name":"BasilPsarianos","domain_name":"ntua","created_at":"2015-03-23T12:42:26.134-07:00","display_name":"Basil Psarianos","url":"https://ntua.academia.edu/BasilPsarianos"},"attachments":[{"id":63666215,"title":"","file_type":"pdf","scribd_thumbnail_url":"https://attachments.academia-assets.com/63666215/thumbnails/1.jpg","file_name":"TRL530_R1_1.pdf","download_url":"https://www.academia.edu/attachments/63666215/download_file?st=MTczMjQwMzkxNyw4LjIyMi4yMDguMTQ2&st=MTczMjQwMzkxNyw4LjIyMi4yMDguMTQ2&","bulk_download_file_name":"Stopping_sight_distance_adequacy_assessm.pdf","bulk_download_url":"https://d1wqtxts1xzle7.cloudfront.net/63666215/TRL530_R1_1-libre.pdf?1592476207=\u0026response-content-disposition=attachment%3B+filename%3DStopping_sight_distance_adequacy_assessm.pdf\u0026Expires=1732407517\u0026Signature=IcMAenYi6lR4HmvSWvO8DgxRw56yZCdUVLsByzR3r1V3GmsmT7LmFNIZCpCt6srK62yPzwTazBg~JvLoxPfOrcx0dfJKoIG20QTjlxl95LBC--tH6luXyD-ucWRnSfqxkdlwDMDQoRGua~IjLT7S5vZyEGRF9R9mFZFNZOBiM3NbNNBkOys9JHtFrrSTUkL45A47sUinTNuQ9Ywca4u5OvDj7tYLOpXc4C6BG6Mby9sg7OanTeQ91oyChFZYRIU~dD5ErmuHxtY~uU9RsPd02hnsCR6n0xItkHh9PK71YWaPcz~8PH7FbqkYVR4U90TqBFIG83O4YjiCwR5FD95oCQ__\u0026Key-Pair-Id=APKAJLOHF5GGSLRBV4ZA"}],"research_interests":[{"id":2358,"name":"Road safety","url":"https://www.academia.edu/Documents/in/Road_safety"},{"id":807769,"name":"Geometric Design Of Highways","url":"https://www.academia.edu/Documents/in/Geometric_Design_Of_Highways"}],"urls":[]}, dispatcherData: dispatcherData }); $(this).data('initialized', true); } }); $a.trackClickSource(".js-work-strip-work-link", "profile_work_strip") }); </script> <div class="js-work-strip profile--work_container" data-work-id="33172118"><div class="profile--work_thumbnail hidden-xs"><a class="js-work-strip-work-link" data-click-track="profile-work-strip-thumbnail" href="https://www.academia.edu/33172118/Controlling_sag_vertical_curvature_rates_based_on_variable_grade_stopping_sight_distance_calculation"><img alt="Research paper thumbnail of Controlling sag vertical curvature rates based on variable grade stopping sight distance calculation" class="work-thumbnail" src="https://a.academia-assets.com/images/blank-paper.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" href="https://www.academia.edu/33172118/Controlling_sag_vertical_curvature_rates_based_on_variable_grade_stopping_sight_distance_calculation">Controlling sag vertical curvature rates based on variable grade stopping sight distance calculation</a></div><div class="wp-workCard_item wp-workCard--coauthors"><span>by </span><span><a class="" data-click-track="profile-work-strip-authors" href="https://ntua.academia.edu/BasilPsarianos">Basil Psarianos</a> and <a class="" data-click-track="profile-work-strip-authors" href="https://ntua.academia.edu/GeorgeYannis">George Yannis</a></span></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">Stopping Sight Distance (SSD) is a key control element which directly affects the suggested value...</span><a class="js-work-more-abstract" data-broccoli-component="work_strip.more_abstract" data-click-track="profile-work-strip-more-abstract" href="javascript:;"><span> more </span><span><i class="fa fa-caret-down"></i></span></a><span class="js-work-more-abstract-untruncated hidden">Stopping Sight Distance (SSD) is a key control element which directly affects the suggested values of crucial road design parameters. Although there is a significant difference in SSD values between upgrades and downgrades, many Design Policies ignore the grade effect during vehicle braking on variable grades. Such a case is experienced during the determination of sag vertical curvature rates where the relevant SSD values are extracted assuming leveled road geometry. The paper investigates possible deficiency of this approach, regarding cases where the length of the vertical curve exceeds the control SSD values.<br />The authors addressed the SSD calculation on variable grades during the braking process through a recently developed process that relates the point mass model and the laws of mechanics.<br />For a wide range of design speed values, charts illustrating the required SSDs were drawn as a function of negative entering grade values related to control sag vertical curve rates, as adopted by AASHTO. The process revealed numerous SSD shortage areas, where the authors provided revised sag vertical curvature rates, in order to grant SSD adequacy throughout the vehicles’ breaking process.<br />Furthermore, the authors aiming to provide the designers with ready-to-use vertical design tool associated the amended vertical curvature rates to AASHTO’s road functional classification, as a function of the sag vertical curve’s entering grade value.</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="33172118"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span><span id="work-strip-rankings-button-container"></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="33172118"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 33172118; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=33172118]").text(description); $(".js-view-count[data-work-id=33172118]").attr('title', description).tooltip(); }); });</script></span></span><span><span class="percentile-widget hidden"><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 33172118; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-work-strip[data-work-id='33172118']"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></span><span><script>$(function() { new Works.PaperRankView({ workId: 33172118, container: "", }); });</script></span></div><div id="work-strip-premium-row-container"></div></div></div><script> require.config({ waitSeconds: 90 })(["https://a.academia-assets.com/assets/wow_profile-f77ea15d77ce96025a6048a514272ad8becbad23c641fc2b3bd6e24ca6ff1932.js","https://a.academia-assets.com/assets/work_edit-ad038b8c047c1a8d4fa01b402d530ff93c45fee2137a149a4a5398bc8ad67560.js"], function() { // from javascript_helper.rb var dispatcherData = {} if (false){ window.WowProfile.dispatcher = window.WowProfile.dispatcher || _.clone(Backbone.Events); dispatcherData = { dispatcher: window.WowProfile.dispatcher, downloadLinkId: "-1" } } $('.js-work-strip[data-work-id=33172118]').each(function() { if (!$(this).data('initialized')) { new WowProfile.WorkStripView({ el: this, workJSON: {"id":33172118,"title":"Controlling sag vertical curvature rates based on variable grade stopping sight distance calculation","translated_title":"","metadata":{"abstract":"Stopping Sight Distance (SSD) is a key control element which directly affects the suggested values of crucial road design parameters. Although there is a significant difference in SSD values between upgrades and downgrades, many Design Policies ignore the grade effect during vehicle braking on variable grades. Such a case is experienced during the determination of sag vertical curvature rates where the relevant SSD values are extracted assuming leveled road geometry. The paper investigates possible deficiency of this approach, regarding cases where the length of the vertical curve exceeds the control SSD values.\nThe authors addressed the SSD calculation on variable grades during the braking process through a recently developed process that relates the point mass model and the laws of mechanics.\nFor a wide range of design speed values, charts illustrating the required SSDs were drawn as a function of negative entering grade values related to control sag vertical curve rates, as adopted by AASHTO. The process revealed numerous SSD shortage areas, where the authors provided revised sag vertical curvature rates, in order to grant SSD adequacy throughout the vehicles’ breaking process.\nFurthermore, the authors aiming to provide the designers with ready-to-use vertical design tool associated the amended vertical curvature rates to AASHTO’s road functional classification, as a function of the sag vertical curve’s entering grade value."},"translated_abstract":"Stopping Sight Distance (SSD) is a key control element which directly affects the suggested values of crucial road design parameters. Although there is a significant difference in SSD values between upgrades and downgrades, many Design Policies ignore the grade effect during vehicle braking on variable grades. Such a case is experienced during the determination of sag vertical curvature rates where the relevant SSD values are extracted assuming leveled road geometry. The paper investigates possible deficiency of this approach, regarding cases where the length of the vertical curve exceeds the control SSD values.\nThe authors addressed the SSD calculation on variable grades during the braking process through a recently developed process that relates the point mass model and the laws of mechanics.\nFor a wide range of design speed values, charts illustrating the required SSDs were drawn as a function of negative entering grade values related to control sag vertical curve rates, as adopted by AASHTO. The process revealed numerous SSD shortage areas, where the authors provided revised sag vertical curvature rates, in order to grant SSD adequacy throughout the vehicles’ breaking process.\nFurthermore, the authors aiming to provide the designers with ready-to-use vertical design tool associated the amended vertical curvature rates to AASHTO’s road functional classification, as a function of the sag vertical curve’s entering grade value.","internal_url":"https://www.academia.edu/33172118/Controlling_sag_vertical_curvature_rates_based_on_variable_grade_stopping_sight_distance_calculation","translated_internal_url":"","created_at":"2017-05-24T01:51:43.871-07:00","preview_url":null,"current_user_can_edit":null,"current_user_is_owner":null,"owner_id":28364511,"coauthors_can_edit":true,"document_type":"paper","co_author_tags":[{"id":29080445,"work_id":33172118,"tagging_user_id":28364511,"tagged_user_id":32014899,"co_author_invite_id":null,"email":"s***s@gmail.com","display_order":0,"name":"Stergios Mavromatis","title":"Controlling sag vertical curvature rates based on variable grade stopping sight distance calculation"},{"id":29080446,"work_id":33172118,"tagging_user_id":28364511,"tagged_user_id":28474562,"co_author_invite_id":null,"email":"n***t@engr.uky.edu","display_order":4194304,"name":"Nikiforos Stamatiadis","title":"Controlling sag vertical curvature rates based on variable grade stopping sight distance calculation"},{"id":29080447,"work_id":33172118,"tagging_user_id":28364511,"tagged_user_id":419950,"co_author_invite_id":null,"email":"g***s@gmail.com","affiliation":"National Technical University of Athens","display_order":6291456,"name":"George Yannis","title":"Controlling sag vertical curvature rates based on variable grade stopping sight distance calculation"}],"downloadable_attachments":[],"slug":"Controlling_sag_vertical_curvature_rates_based_on_variable_grade_stopping_sight_distance_calculation","translated_slug":"","page_count":null,"language":"en","content_type":"Work","owner":{"id":28364511,"first_name":"Basil","middle_initials":null,"last_name":"Psarianos","page_name":"BasilPsarianos","domain_name":"ntua","created_at":"2015-03-23T12:42:26.134-07:00","display_name":"Basil Psarianos","url":"https://ntua.academia.edu/BasilPsarianos"},"attachments":[],"research_interests":[{"id":2358,"name":"Road safety","url":"https://www.academia.edu/Documents/in/Road_safety"},{"id":807769,"name":"Geometric Design Of Highways","url":"https://www.academia.edu/Documents/in/Geometric_Design_Of_Highways"}],"urls":[]}, dispatcherData: dispatcherData }); $(this).data('initialized', true); } }); $a.trackClickSource(".js-work-strip-work-link", "profile_work_strip") }); </script> <div class="js-work-strip profile--work_container" data-work-id="32265153"><div class="profile--work_thumbnail hidden-xs"><a class="js-work-strip-work-link" data-click-track="profile-work-strip-thumbnail" href="https://www.academia.edu/32265153/An_Exploration_of_Road_Safety_Parameters_in_Greece_and_Turkey"><img alt="Research paper thumbnail of An Exploration of Road Safety Parameters in Greece and Turkey" class="work-thumbnail" src="https://attachments.academia-assets.com/52484149/thumbnails/1.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" href="https://www.academia.edu/32265153/An_Exploration_of_Road_Safety_Parameters_in_Greece_and_Turkey">An Exploration of Road Safety Parameters in Greece and Turkey</a></div><div class="wp-workCard_item wp-workCard--coauthors"><span>by </span><span><a class="" data-click-track="profile-work-strip-authors" href="https://independent.academia.edu/GeorgeKanellaidis">George Kanellaidis</a>, <a class="" data-click-track="profile-work-strip-authors" href="https://ntua.academia.edu/AlexandraLaiou">Alexandra Laiou</a>, and <a class="" data-click-track="profile-work-strip-authors" href="https://ntua.academia.edu/GeorgeYannis">George Yannis</a></span></div><div class="wp-workCard_item"><span>JOURNAL OF TRANSPORT AND SHIPPING</span><span>, Dec 1, 2007</span></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">Abstract. Given that several regions of Greece and Turkey have higher road accident death rates t...</span><a class="js-work-more-abstract" data-broccoli-component="work_strip.more_abstract" data-click-track="profile-work-strip-more-abstract" href="javascript:;"><span> more </span><span><i class="fa fa-caret-down"></i></span></a><span class="js-work-more-abstract-untruncated hidden">Abstract. Given that several regions of Greece and Turkey have higher road accident death rates than any other European region, the objective of this research is the exploration of the underline parameters, which contribute to this phenomenon. On that purpose, road accident fatalities are co-examined with basic macroscopic parameters affecting road safety, like population and vehicle fleet and lognormal models are developed for Greece, Turkey and three selected groups of EU countries. The application of the models developed showed ...</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><a id="6474d2e4eb337769ca9cb6a62064f848" class="wp-workCard--action" rel="nofollow" data-click-track="profile-work-strip-download" data-download="{"attachment_id":52484149,"asset_id":32265153,"asset_type":"Work","button_location":"profile"}" href="https://www.academia.edu/attachments/52484149/download_file?st=MTczMjQwMzkxNyw4LjIyMi4yMDguMTQ2&st=MTczMjQwMzkxNyw4LjIyMi4yMDguMTQ2&s=profile"><span><i class="fa fa-arrow-down"></i></span><span>Download</span></a><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="32265153"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span><span id="work-strip-rankings-button-container"></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="32265153"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 32265153; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=32265153]").text(description); $(".js-view-count[data-work-id=32265153]").attr('title', description).tooltip(); }); });</script></span></span><span><span class="percentile-widget hidden"><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 32265153; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-work-strip[data-work-id='32265153']"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></span><span><script>$(function() { new Works.PaperRankView({ workId: 32265153, container: "", }); });</script></span></div><div id="work-strip-premium-row-container"></div></div></div><script> require.config({ waitSeconds: 90 })(["https://a.academia-assets.com/assets/wow_profile-f77ea15d77ce96025a6048a514272ad8becbad23c641fc2b3bd6e24ca6ff1932.js","https://a.academia-assets.com/assets/work_edit-ad038b8c047c1a8d4fa01b402d530ff93c45fee2137a149a4a5398bc8ad67560.js"], function() { // from javascript_helper.rb var dispatcherData = {} if (true){ window.WowProfile.dispatcher = window.WowProfile.dispatcher || _.clone(Backbone.Events); dispatcherData = { dispatcher: window.WowProfile.dispatcher, downloadLinkId: "6474d2e4eb337769ca9cb6a62064f848" } } $('.js-work-strip[data-work-id=32265153]').each(function() { if (!$(this).data('initialized')) { new WowProfile.WorkStripView({ el: this, workJSON: {"id":32265153,"title":"An Exploration of Road Safety Parameters in Greece and Turkey","translated_title":"","metadata":{"abstract":"Abstract. 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On that purpose, road accident fatalities are co-examined with basic macroscopic parameters affecting road safety, like population and vehicle fleet and lognormal models are developed for Greece, Turkey and three selected groups of EU countries. The application of the models developed showed ...","internal_url":"https://www.academia.edu/32265153/An_Exploration_of_Road_Safety_Parameters_in_Greece_and_Turkey","translated_internal_url":"","created_at":"2017-04-05T00:16:51.995-07:00","preview_url":null,"current_user_can_edit":null,"current_user_is_owner":null,"owner_id":62589783,"coauthors_can_edit":true,"document_type":"paper","co_author_tags":[{"id":28372182,"work_id":32265153,"tagging_user_id":62589783,"tagged_user_id":62605292,"co_author_invite_id":6189798,"email":"a***u@central.ntua.gr","affiliation":"National Technical University of Athens","display_order":0,"name":"Alexandra Laiou","title":"An Exploration of Road Safety Parameters in Greece and Turkey"},{"id":28372185,"work_id":32265153,"tagging_user_id":62589783,"tagged_user_id":419950,"co_author_invite_id":null,"email":"g***s@gmail.com","affiliation":"National Technical University of Athens","display_order":4194304,"name":"George Yannis","title":"An Exploration of Road 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class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" href="https://www.academia.edu/24735195/Acceptability_of_rider_assistive_systems_for_powered_two_wheelers">Acceptability of rider assistive systems for powered two-wheelers</a></div><div class="wp-workCard_item wp-workCard--coauthors"><span>by </span><span><a class="" data-click-track="profile-work-strip-authors" href="https://independent.academia.edu/ElisabethFuessl">Elisabeth Fuessl</a>, <a class="" data-click-track="profile-work-strip-authors" href="https://ntua.academia.edu/GeorgeYannis">George Yannis</a>, and <a class="" data-click-track="profile-work-strip-authors" href="https://ltu-se.academia.edu/LarsLeden">Lars Leden</a></span></div><div class="wp-workCard_item"><span>Transportation Research Part F: Traffic Psychology and Behaviour</span><span>, 2013</span></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">ABSTRACT There has been limited development of advanced rider assistance systems and on-bike info...</span><a class="js-work-more-abstract" data-broccoli-component="work_strip.more_abstract" data-click-track="profile-work-strip-more-abstract" href="javascript:;"><span> more </span><span><i class="fa fa-caret-down"></i></span></a><span class="js-work-more-abstract-untruncated hidden">ABSTRACT There has been limited development of advanced rider assistance systems and on-bike information systems for powered two-wheelers (PTWs), even though research suggests that population-wide deployment of assistive systems could significantly reduce PTW crashes. This study aims to understand general and system-specific factors that are likely to influence acceptability of PTW assistive systems, including barriers that may prevent uptake and proper use of systems, through a large-scale survey of European riders. The survey was available in seven languages and attracted 6297 respondents. Respondents were frequent riders, who rode primarily for leisure purposes and had high awareness of assistive systems. Cluster analysis revealed two groups based on overall acceptability of assistive systems. The moderate and low acceptance clusters differed in terms of riding practices, risk perception, attitudes towards rule breaking, and some personality traits. Overall acceptability was low, but riders who perceive greater risk in riding display higher acceptability. Acceptability was highest for systems that do not interfere with the riding task, are well-known and/or considered reliable (e.g., night vision, ABS, eCall, advanced front-lighting system). In general, riders believe that existing safety equipment (e.g., helmets, protective clothing) is more reliable, provides greater resistance, and is considerably cheaper than more sophisticated assistive technology. Riders believe that innovations should focus on protective equipment, since they believe crash prevention is better addressed through rider training. Finally, riders felt there should be more emphasis on vehicle tyre condition, while tyre pressure control systems were identified as potentially helpful.</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="24735195"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span><span id="work-strip-rankings-button-container"></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="24735195"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 24735195; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=24735195]").text(description); $(".js-view-count[data-work-id=24735195]").attr('title', description).tooltip(); }); });</script></span></span><span><span class="percentile-widget hidden"><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 24735195; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-work-strip[data-work-id='24735195']"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></span><span><script>$(function() { new Works.PaperRankView({ workId: 24735195, container: "", }); });</script></span></div><div id="work-strip-premium-row-container"></div></div></div><script> require.config({ waitSeconds: 90 })(["https://a.academia-assets.com/assets/wow_profile-f77ea15d77ce96025a6048a514272ad8becbad23c641fc2b3bd6e24ca6ff1932.js","https://a.academia-assets.com/assets/work_edit-ad038b8c047c1a8d4fa01b402d530ff93c45fee2137a149a4a5398bc8ad67560.js"], function() { // from javascript_helper.rb var dispatcherData = {} if (false){ window.WowProfile.dispatcher = window.WowProfile.dispatcher || _.clone(Backbone.Events); dispatcherData = { dispatcher: window.WowProfile.dispatcher, downloadLinkId: "-1" } } $('.js-work-strip[data-work-id=24735195]').each(function() { if (!$(this).data('initialized')) { new WowProfile.WorkStripView({ el: this, workJSON: {"id":24735195,"title":"Acceptability of rider assistive systems for powered two-wheelers","translated_title":"","metadata":{"abstract":"ABSTRACT There has been limited development of advanced rider assistance systems and on-bike information systems for powered two-wheelers (PTWs), even though research suggests that population-wide deployment of assistive systems could significantly reduce PTW crashes. This study aims to understand general and system-specific factors that are likely to influence acceptability of PTW assistive systems, including barriers that may prevent uptake and proper use of systems, through a large-scale survey of European riders. The survey was available in seven languages and attracted 6297 respondents. Respondents were frequent riders, who rode primarily for leisure purposes and had high awareness of assistive systems. Cluster analysis revealed two groups based on overall acceptability of assistive systems. The moderate and low acceptance clusters differed in terms of riding practices, risk perception, attitudes towards rule breaking, and some personality traits. Overall acceptability was low, but riders who perceive greater risk in riding display higher acceptability. Acceptability was highest for systems that do not interfere with the riding task, are well-known and/or considered reliable (e.g., night vision, ABS, eCall, advanced front-lighting system). In general, riders believe that existing safety equipment (e.g., helmets, protective clothing) is more reliable, provides greater resistance, and is considerably cheaper than more sophisticated assistive technology. Riders believe that innovations should focus on protective equipment, since they believe crash prevention is better addressed through rider training. Finally, riders felt there should be more emphasis on vehicle tyre condition, while tyre pressure control systems were identified as potentially helpful.","publication_date":{"day":null,"month":null,"year":2013,"errors":{}},"publication_name":"Transportation Research Part F: Traffic Psychology and Behaviour"},"translated_abstract":"ABSTRACT There has been limited development of advanced rider assistance systems and on-bike information systems for powered two-wheelers (PTWs), even though research suggests that population-wide deployment of assistive systems could significantly reduce PTW crashes. This study aims to understand general and system-specific factors that are likely to influence acceptability of PTW assistive systems, including barriers that may prevent uptake and proper use of systems, through a large-scale survey of European riders. The survey was available in seven languages and attracted 6297 respondents. Respondents were frequent riders, who rode primarily for leisure purposes and had high awareness of assistive systems. Cluster analysis revealed two groups based on overall acceptability of assistive systems. The moderate and low acceptance clusters differed in terms of riding practices, risk perception, attitudes towards rule breaking, and some personality traits. Overall acceptability was low, but riders who perceive greater risk in riding display higher acceptability. Acceptability was highest for systems that do not interfere with the riding task, are well-known and/or considered reliable (e.g., night vision, ABS, eCall, advanced front-lighting system). 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$(this).data('initialized', true); } }); $a.trackClickSource(".js-work-strip-work-link", "profile_work_strip") }); </script> <div class="js-work-strip profile--work_container" data-work-id="24766111"><div class="profile--work_thumbnail hidden-xs"><a class="js-work-strip-work-link" data-click-track="profile-work-strip-thumbnail" href="https://www.academia.edu/24766111/An_exploration_of_road_safety_parameters_in_Belarus_and_the_European_Union"><img alt="Research paper thumbnail of An exploration of road safety parameters in Belarus and the European Union" class="work-thumbnail" src="https://attachments.academia-assets.com/45095351/thumbnails/1.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" href="https://www.academia.edu/24766111/An_exploration_of_road_safety_parameters_in_Belarus_and_the_European_Union">An exploration of road safety parameters in Belarus and the European Union</a></div><div class="wp-workCard_item wp-workCard--coauthors"><span>by </span><span><a class="" data-click-track="profile-work-strip-authors" href="https://lboro.academia.edu/AthanasiosAkisTheofilatos">Athanasios Akis Theofilatos</a> and <a class="" data-click-track="profile-work-strip-authors" href="https://ntua.academia.edu/GeorgeYannis">George Yannis</a></span></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">The objective of the present paper is to explore key parameters contributing to road safety in Be...</span><a class="js-work-more-abstract" data-broccoli-component="work_strip.more_abstract" data-click-track="profile-work-strip-more-abstract" href="javascript:;"><span> more </span><span><i class="fa fa-caret-down"></i></span></a><span class="js-work-more-abstract-untruncated hidden">The objective of the present paper is to explore key parameters contributing to road safety in Belarus through the analysis of basic road safety data. In addition, road safety trends in Belarus are compared to those of EU member countries, which based on the different socioeconomic and road safety characteristicsare categorized in three distinct groups, , namely; Northwest , South and East EU members. On this purpose the latest general trends in road safety in Belarus were recorded and socioeconomic parameters were selected to explore the impact of each one of them to the number of road fatalities per population. A lognormal model was developed for Belarus and for the selected groups of EU countries. Dimensionless elasticities were used for the direct comparison of all model parameters, in order to identify differences and similarities in road safety performance in the examinedcountries. The examination of Belarus revealed findings very similar to those of East EU member countries, according to which the number of road fatalities per population was found to be affected by the GDP per capita but not by the total fleet. Specifically, an increase in the GDP per capita leads to a decrease in road fatalities per population. A negative relation between GDP per capita and road fatalities per population, although morethan double in terms of quantitative impact, was also found in the case of Northwest EU members.Contrary to the above findings, regarding South EU countries, the analysis showed that the total fleet has an impact on the number of road fatalities per population, where the GDP per capita has the adverse kind of impact on road fatalities per population than in the other examined groups. The results of this research revealed the importance of basic socioeconomic parameters on road fatalities' macroscopic trends. Common characteristics of neighbouring countries may explain similar road safety performance, and relevant findings may be exploited by all those who attempt to identify future road safety trends and propose appropriate countermeasures and policies.</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><a id="0976365c2331ad66b24553ee5a95c58d" class="wp-workCard--action" rel="nofollow" data-click-track="profile-work-strip-download" data-download="{"attachment_id":45095351,"asset_id":24766111,"asset_type":"Work","button_location":"profile"}" href="https://www.academia.edu/attachments/45095351/download_file?st=MTczMjQwMzkxNyw4LjIyMi4yMDguMTQ2&st=MTczMjQwMzkxNyw4LjIyMi4yMDguMTQ2&s=profile"><span><i class="fa fa-arrow-down"></i></span><span>Download</span></a><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="24766111"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span><span id="work-strip-rankings-button-container"></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="24766111"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 24766111; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=24766111]").text(description); $(".js-view-count[data-work-id=24766111]").attr('title', description).tooltip(); }); });</script></span></span><span><span class="percentile-widget hidden"><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 24766111; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-work-strip[data-work-id='24766111']"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></span><span><script>$(function() { new Works.PaperRankView({ workId: 24766111, container: "", }); });</script></span></div><div id="work-strip-premium-row-container"></div></div></div><script> require.config({ waitSeconds: 90 })(["https://a.academia-assets.com/assets/wow_profile-f77ea15d77ce96025a6048a514272ad8becbad23c641fc2b3bd6e24ca6ff1932.js","https://a.academia-assets.com/assets/work_edit-ad038b8c047c1a8d4fa01b402d530ff93c45fee2137a149a4a5398bc8ad67560.js"], function() { // from javascript_helper.rb var dispatcherData = {} if (true){ window.WowProfile.dispatcher = window.WowProfile.dispatcher || _.clone(Backbone.Events); dispatcherData = { dispatcher: window.WowProfile.dispatcher, downloadLinkId: "0976365c2331ad66b24553ee5a95c58d" } } $('.js-work-strip[data-work-id=24766111]').each(function() { if (!$(this).data('initialized')) { new WowProfile.WorkStripView({ el: this, workJSON: {"id":24766111,"title":"An exploration of road safety parameters in Belarus and the European Union","translated_title":"","metadata":{"abstract":"The objective of the present paper is to explore key parameters contributing to road safety in Belarus through the analysis of basic road safety data. In addition, road safety trends in Belarus are compared to those of EU member countries, which based on the different socioeconomic and road safety characteristicsare categorized in three distinct groups, , namely; Northwest , South and East EU members. On this purpose the latest general trends in road safety in Belarus were recorded and socioeconomic parameters were selected to explore the impact of each one of them to the number of road fatalities per population. A lognormal model was developed for Belarus and for the selected groups of EU countries. Dimensionless elasticities were used for the direct comparison of all model parameters, in order to identify differences and similarities in road safety performance in the examinedcountries. The examination of Belarus revealed findings very similar to those of East EU member countries, according to which the number of road fatalities per population was found to be affected by the GDP per capita but not by the total fleet. 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Dimensionless elasticities were used for the direct comparison of all model parameters, in order to identify differences and similarities in road safety performance in the examinedcountries. The examination of Belarus revealed findings very similar to those of East EU member countries, according to which the number of road fatalities per population was found to be affected by the GDP per capita but not by the total fleet. Specifically, an increase in the GDP per capita leads to a decrease in road fatalities per population. A negative relation between GDP per capita and road fatalities per population, although morethan double in terms of quantitative impact, was also found in the case of Northwest EU members.Contrary to the above findings, regarding South EU countries, the analysis showed that the total fleet has an impact on the number of road fatalities per population, where the GDP per capita has the adverse kind of impact on road fatalities per population than in the other examined groups. The results of this research revealed the importance of basic socioeconomic parameters on road fatalities' macroscopic trends. 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$(this).data('initialized', true); } }); $a.trackClickSource(".js-work-strip-work-link", "profile_work_strip") }); </script> <div class="js-work-strip profile--work_container" data-work-id="5909297"><div class="profile--work_thumbnail hidden-xs"><a class="js-work-strip-work-link" data-click-track="profile-work-strip-thumbnail" href="https://www.academia.edu/5909297/Accident_risk_of_foreign_drivers_in_various_road_environments"><img alt="Research paper thumbnail of Accident risk of foreign drivers in various road environments" class="work-thumbnail" src="https://a.academia-assets.com/images/blank-paper.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" href="https://www.academia.edu/5909297/Accident_risk_of_foreign_drivers_in_various_road_environments">Accident risk of foreign drivers in various road environments</a></div><div class="wp-workCard_item wp-workCard--coauthors"><span>by </span><span><a class="" data-click-track="profile-work-strip-authors" href="https://ntua.academia.edu/JohnGolias">John Golias</a> and <a class="" data-click-track="profile-work-strip-authors" href="https://ntua.academia.edu/GeorgeYannis">George Yannis</a></span></div><div class="wp-workCard_item"><span>Journal of Safety Research</span><span>, 2007</span></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">This paper reports on the accident risk of foreign and native drivers in various road environment...</span><a class="js-work-more-abstract" data-broccoli-component="work_strip.more_abstract" data-click-track="profile-work-strip-more-abstract" href="javascript:;"><span> more </span><span><i class="fa fa-caret-down"></i></span></a><span class="js-work-more-abstract-untruncated hidden">This paper reports on the accident risk of foreign and native drivers in various road environments in Greece. In particular, the analysis aims to determine the combined effect of driver nationality, area type (inside/outside urban area), junction (yes/no), and lighting conditions (day/night) on accident fault risk. Data from the national accident database of Greece are used in a hierarchical log-linear analysis. The induced exposure technique is applied due to the lack of exposure data. Estimated and observed odds ratios are then examined for the quantification of the various effects in terms of relative risk. The initial examination of a saturated model leads to the rejection of all three- and higher-order effects within variables, without providing an adequate fit to the data. On the contrary, a non-saturated second-order model presents a very satisfactory overall fit. The examination of single and combined effects indicates that the most significant effect on accident risk rises from the presence of foreign drivers at junctions. Results confirm that foreign drivers in Greece are at increased risk. However, immigrant permanent residents appear to have a lower risk compared to tourists, regardless of the road environment.</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="5909297"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span><span id="work-strip-rankings-button-container"></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="5909297"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 5909297; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=5909297]").text(description); $(".js-view-count[data-work-id=5909297]").attr('title', description).tooltip(); }); });</script></span></span><span><span class="percentile-widget hidden"><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 5909297; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-work-strip[data-work-id='5909297']"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></span><span><script>$(function() { new Works.PaperRankView({ workId: 5909297, container: "", }); });</script></span></div><div id="work-strip-premium-row-container"></div></div></div><script> require.config({ waitSeconds: 90 })(["https://a.academia-assets.com/assets/wow_profile-f77ea15d77ce96025a6048a514272ad8becbad23c641fc2b3bd6e24ca6ff1932.js","https://a.academia-assets.com/assets/work_edit-ad038b8c047c1a8d4fa01b402d530ff93c45fee2137a149a4a5398bc8ad67560.js"], function() { // from javascript_helper.rb var dispatcherData = {} if (false){ window.WowProfile.dispatcher = window.WowProfile.dispatcher || _.clone(Backbone.Events); dispatcherData = { dispatcher: window.WowProfile.dispatcher, downloadLinkId: "-1" } } $('.js-work-strip[data-work-id=5909297]').each(function() { if (!$(this).data('initialized')) { new WowProfile.WorkStripView({ el: this, workJSON: {"id":5909297,"title":"Accident risk of foreign drivers in various road environments","translated_title":"","metadata":{"abstract":"This paper reports on the accident risk of foreign and native drivers in various road environments in Greece. In particular, the analysis aims to determine the combined effect of driver nationality, area type (inside/outside urban area), junction (yes/no), and lighting conditions (day/night) on accident fault risk. Data from the national accident database of Greece are used in a hierarchical log-linear analysis. The induced exposure technique is applied due to the lack of exposure data. Estimated and observed odds ratios are then examined for the quantification of the various effects in terms of relative risk. The initial examination of a saturated model leads to the rejection of all three- and higher-order effects within variables, without providing an adequate fit to the data. On the contrary, a non-saturated second-order model presents a very satisfactory overall fit. The examination of single and combined effects indicates that the most significant effect on accident risk rises from the presence of foreign drivers at junctions. Results confirm that foreign drivers in Greece are at increased risk. However, immigrant permanent residents appear to have a lower risk compared to tourists, regardless of the road environment.","publication_date":{"day":null,"month":null,"year":2007,"errors":{}},"publication_name":"Journal of Safety Research"},"translated_abstract":"This paper reports on the accident risk of foreign and native drivers in various road environments in Greece. In particular, the analysis aims to determine the combined effect of driver nationality, area type (inside/outside urban area), junction (yes/no), and lighting conditions (day/night) on accident fault risk. Data from the national accident database of Greece are used in a hierarchical log-linear analysis. The induced exposure technique is applied due to the lack of exposure data. Estimated and observed odds ratios are then examined for the quantification of the various effects in terms of relative risk. The initial examination of a saturated model leads to the rejection of all three- and higher-order effects within variables, without providing an adequate fit to the data. On the contrary, a non-saturated second-order model presents a very satisfactory overall fit. The examination of single and combined effects indicates that the most significant effect on accident risk rises from the presence of foreign drivers at junctions. Results confirm that foreign drivers in Greece are at increased risk. However, immigrant permanent residents appear to have a lower risk compared to tourists, regardless of the road environment.","internal_url":"https://www.academia.edu/5909297/Accident_risk_of_foreign_drivers_in_various_road_environments","translated_internal_url":"","created_at":"2014-02-01T01:13:51.111-08:00","preview_url":null,"current_user_can_edit":null,"current_user_is_owner":null,"owner_id":8763802,"coauthors_can_edit":true,"document_type":"paper","co_author_tags":[{"id":19115551,"work_id":5909297,"tagging_user_id":8763802,"tagged_user_id":8629424,"co_author_invite_id":null,"email":"n***i@gmail.com","display_order":0,"name":"Eleonora Papadimitriou","title":"Accident risk of foreign drivers in various road environments"},{"id":19115594,"work_id":5909297,"tagging_user_id":8763802,"tagged_user_id":419950,"co_author_invite_id":null,"email":"g***s@gmail.com","affiliation":"National Technical University of Athens","display_order":4194304,"name":"George Yannis","title":"Accident risk of foreign drivers in various road environments"}],"downloadable_attachments":[],"slug":"Accident_risk_of_foreign_drivers_in_various_road_environments","translated_slug":"","page_count":null,"language":"en","content_type":"Work","owner":{"id":8763802,"first_name":"John","middle_initials":null,"last_name":"Golias","page_name":"JohnGolias","domain_name":"ntua","created_at":"2014-02-01T01:12:39.447-08:00","display_name":"John Golias","url":"https://ntua.academia.edu/JohnGolias"},"attachments":[],"research_interests":[{"id":221,"name":"Psychology","url":"https://www.academia.edu/Documents/in/Psychology"},{"id":8207,"name":"Risk","url":"https://www.academia.edu/Documents/in/Risk"},{"id":16664,"name":"Risk assessment","url":"https://www.academia.edu/Documents/in/Risk_assessment"},{"id":48044,"name":"Greece","url":"https://www.academia.edu/Documents/in/Greece"},{"id":49161,"name":"Safety","url":"https://www.academia.edu/Documents/in/Safety"},{"id":64568,"name":"Humans","url":"https://www.academia.edu/Documents/in/Humans"},{"id":410370,"name":"Public health systems and services research","url":"https://www.academia.edu/Documents/in/Public_health_systems_and_services_research-1"},{"id":622589,"name":"Risk Assessment","url":"https://www.academia.edu/Documents/in/Risk_Assessment-2"},{"id":1208706,"name":"Environment","url":"https://www.academia.edu/Documents/in/Environment"},{"id":1984794,"name":"Urban Area","url":"https://www.academia.edu/Documents/in/Urban_Area"},{"id":2248971,"name":"Automobile driving","url":"https://www.academia.edu/Documents/in/Automobile_driving"}],"urls":[{"id":2333936,"url":"http://www.sciencedirect.com/science/article/pii/S0022437507000850"}]}, dispatcherData: dispatcherData }); 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$(this).data('initialized', true); } }); $a.trackClickSource(".js-work-strip-work-link", "profile_work_strip") }); </script> <div class="js-work-strip profile--work_container" data-work-id="5909677"><div class="profile--work_thumbnail hidden-xs"><a class="js-work-strip-work-link" data-click-track="profile-work-strip-thumbnail" href="https://www.academia.edu/5909677/Overview_of_critical_risk_factors_in_Power_Two_Wheeler_safety"><img alt="Research paper thumbnail of Overview of critical risk factors in Power-Two-Wheeler safety" class="work-thumbnail" src="https://attachments.academia-assets.com/49093227/thumbnails/1.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" href="https://www.academia.edu/5909677/Overview_of_critical_risk_factors_in_Power_Two_Wheeler_safety">Overview of critical risk factors in Power-Two-Wheeler safety</a></div><div class="wp-workCard_item wp-workCard--coauthors"><span>by </span><span><a class="" data-click-track="profile-work-strip-authors" href="https://ntua.academia.edu/JohnGolias">John Golias</a>, <a class="" data-click-track="profile-work-strip-authors" href="https://ntua.academia.edu/EleniVlahogianni">Eleni I Vlahogianni</a>, and <a class="" data-click-track="profile-work-strip-authors" href="https://ntua.academia.edu/GeorgeYannis">George Yannis</a></span></div><div class="wp-workCard_item"><span>Accident; analysis and prevention,58,340-45</span><span>, 2012</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><a id="012037a32a53da4b5792a82f4405a5cc" class="wp-workCard--action" rel="nofollow" data-click-track="profile-work-strip-download" data-download="{"attachment_id":49093227,"asset_id":5909677,"asset_type":"Work","button_location":"profile"}" href="https://www.academia.edu/attachments/49093227/download_file?st=MTczMjQwMzkxNyw4LjIyMi4yMDguMTQ2&s=profile"><span><i class="fa fa-arrow-down"></i></span><span>Download</span></a><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="5909677"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span><span id="work-strip-rankings-button-container"></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="5909677"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 5909677; 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road link</a></div><div class="wp-workCard_item wp-workCard--coauthors"><span>by </span><span><a class="" data-click-track="profile-work-strip-authors" href="https://ntua.academia.edu/GeorgeYannis">George Yannis</a> and <a class="" data-click-track="profile-work-strip-authors" href="https://ntua.academia.edu/JohnGolias">John Golias</a></span></div><div class="wp-workCard_item"><span>Technika Chronika I,Vol3,3</span><span>, 2001</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><a id="4e286b0453ef7d80a136d22e1c30925e" class="wp-workCard--action" rel="nofollow" data-click-track="profile-work-strip-download" data-download="{"attachment_id":32896630,"asset_id":5916764,"asset_type":"Work","button_location":"profile"}" href="https://www.academia.edu/attachments/32896630/download_file?st=MTczMjQwMzkxNyw4LjIyMi4yMDguMTQ2&st=MTczMjQwMzkxNyw4LjIyMi4yMDguMTQ2&s=profile"><span><i class="fa 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dispatcherData: dispatcherData }); $(this).data('initialized', true); } }); $a.trackClickSource(".js-work-strip-work-link", "profile_work_strip") }); </script> <div class="js-work-strip profile--work_container" data-work-id="5916944"><div class="profile--work_thumbnail hidden-xs"><a class="js-work-strip-work-link" data-click-track="profile-work-strip-thumbnail" href="https://www.academia.edu/5916944/Effects_of_driver_nationality_and_road_characteristics_on_accident_fault_risk"><img alt="Research paper thumbnail of Effects of driver nationality and road characteristics on accident fault risk" class="work-thumbnail" src="https://a.academia-assets.com/images/blank-paper.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" href="https://www.academia.edu/5916944/Effects_of_driver_nationality_and_road_characteristics_on_accident_fault_risk">Effects of driver nationality and road characteristics on accident fault risk</a></div><div class="wp-workCard_item wp-workCard--coauthors"><span>by </span><span><a class="" data-click-track="profile-work-strip-authors" href="https://ntua.academia.edu/JohnGolias">John Golias</a> and <a class="" data-click-track="profile-work-strip-authors" href="https://ntua.academia.edu/GeorgeYannis">George Yannis</a></span></div><div class="wp-workCard_item"><span>International journal of injury control and safety promotion</span><span>, 2007</span></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">This paper investigates the combined effect of driver nationality and several road characteristic...</span><a class="js-work-more-abstract" data-broccoli-component="work_strip.more_abstract" data-click-track="profile-work-strip-more-abstract" href="javascript:;"><span> more </span><span><i class="fa fa-caret-down"></i></span></a><span class="js-work-more-abstract-untruncated hidden">This paper investigates the combined effect of driver nationality and several road characteristics (area type, at or not at junction, lighting conditions) on accident fault risk. Data from the national accident database of Greece are used to calculate accident relative fault risk rates under induced exposure assumptions. A log-linear analysis is then used to examine first- and higher-order effects within three or more variable groups. The examination of the second-order interaction among the accident fault risks of various driver nationalities at or not at junction was found to be significant. On the contrary, the respective combined effects of area type and lighting conditions were found to be non-significant. It was also shown that roadway features do not affect accident fault risk in a combined way. Results clearly indicate that foreign drivers in Greece are at increased risk. Moreover, foreign nationalities corresponding to permanent residents (i.e. Greeks and Albanians) appear to be at lower fault risk compared to foreign nationalities corresponding to tourists and visitors (e.g. EU Nationals). The effects of the various road characteristics do not modify these general trends.</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="5916944"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span><span id="work-strip-rankings-button-container"></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="5916944"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 5916944; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=5916944]").text(description); $(".js-view-count[data-work-id=5916944]").attr('title', description).tooltip(); }); });</script></span></span><span><span class="percentile-widget hidden"><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 5916944; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-work-strip[data-work-id='5916944']"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></span><span><script>$(function() { new Works.PaperRankView({ workId: 5916944, container: "", }); });</script></span></div><div id="work-strip-premium-row-container"></div></div></div><script> require.config({ waitSeconds: 90 })(["https://a.academia-assets.com/assets/wow_profile-f77ea15d77ce96025a6048a514272ad8becbad23c641fc2b3bd6e24ca6ff1932.js","https://a.academia-assets.com/assets/work_edit-ad038b8c047c1a8d4fa01b402d530ff93c45fee2137a149a4a5398bc8ad67560.js"], function() { // from javascript_helper.rb var dispatcherData = {} if (false){ window.WowProfile.dispatcher = window.WowProfile.dispatcher || _.clone(Backbone.Events); dispatcherData = { dispatcher: window.WowProfile.dispatcher, downloadLinkId: "-1" } } $('.js-work-strip[data-work-id=5916944]').each(function() { if (!$(this).data('initialized')) { new WowProfile.WorkStripView({ el: this, workJSON: {"id":5916944,"title":"Effects of driver nationality and road characteristics on accident fault risk","translated_title":"","metadata":{"abstract":"This paper investigates the combined effect of driver nationality and several road characteristics (area type, at or not at junction, lighting conditions) on accident fault risk. Data from the national accident database of Greece are used to calculate accident relative fault risk rates under induced exposure assumptions. A log-linear analysis is then used to examine first- and higher-order effects within three or more variable groups. The examination of the second-order interaction among the accident fault risks of various driver nationalities at or not at junction was found to be significant. On the contrary, the respective combined effects of area type and lighting conditions were found to be non-significant. It was also shown that roadway features do not affect accident fault risk in a combined way. Results clearly indicate that foreign drivers in Greece are at increased risk. Moreover, foreign nationalities corresponding to permanent residents (i.e. Greeks and Albanians) appear to be at lower fault risk compared to foreign nationalities corresponding to tourists and visitors (e.g. EU Nationals). 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On the contrary, the respective combined effects of area type and lighting conditions were found to be non-significant. It was also shown that roadway features do not affect accident fault risk in a combined way. Results clearly indicate that foreign drivers in Greece are at increased risk. Moreover, foreign nationalities corresponding to permanent residents (i.e. Greeks and Albanians) appear to be at lower fault risk compared to foreign nationalities corresponding to tourists and visitors (e.g. EU Nationals). 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$(this).data('initialized', true); } }); $a.trackClickSource(".js-work-strip-work-link", "profile_work_strip") }); </script> <div class="js-work-strip profile--work_container" data-work-id="5917254"><div class="profile--work_thumbnail hidden-xs"><a class="js-work-strip-work-link" data-click-track="profile-work-strip-thumbnail" href="https://www.academia.edu/5917254/Detecting_Powered_Two_Wheeler_incidents_from_high_resolution_naturalistic_data"><img alt="Research paper thumbnail of Detecting Powered-Two-Wheeler incidents from high resolution naturalistic data" class="work-thumbnail" src="https://a.academia-assets.com/images/blank-paper.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" href="https://www.academia.edu/5917254/Detecting_Powered_Two_Wheeler_incidents_from_high_resolution_naturalistic_data">Detecting Powered-Two-Wheeler incidents from high resolution naturalistic data</a></div><div class="wp-workCard_item wp-workCard--coauthors"><span>by </span><span><a class="" data-click-track="profile-work-strip-authors" href="https://ntua.academia.edu/JohnGolias">John Golias</a>, <a class="" data-click-track="profile-work-strip-authors" href="https://ntua.academia.edu/EleniVlahogianni">Eleni I Vlahogianni</a>, and <a class="" data-click-track="profile-work-strip-authors" href="https://ntua.academia.edu/GeorgeYannis">George Yannis</a></span></div><div class="wp-workCard_item"><span>Transportation Research Part F: Traffic Psychology and Behaviour 22, 86-95</span><span>, 2014</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="5917254"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span><span id="work-strip-rankings-button-container"></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="5917254"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 5917254; 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$(this).data('initialized', true); } }); $a.trackClickSource(".js-work-strip-work-link", "profile_work_strip") }); </script> <div class="js-work-strip profile--work_container" data-work-id="5909312"><div class="profile--work_thumbnail hidden-xs"><a class="js-work-strip-work-link" data-click-track="profile-work-strip-thumbnail" href="https://www.academia.edu/5909312/A_critical_assessment_of_pedestrian_behaviour_models"><img alt="Research paper thumbnail of A critical assessment of pedestrian behaviour models" class="work-thumbnail" src="https://a.academia-assets.com/images/blank-paper.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" href="https://www.academia.edu/5909312/A_critical_assessment_of_pedestrian_behaviour_models">A critical assessment of pedestrian behaviour models</a></div><div class="wp-workCard_item wp-workCard--coauthors"><span>by </span><span><a class="" data-click-track="profile-work-strip-authors" href="https://ntua.academia.edu/JohnGolias">John Golias</a> and <a class="" data-click-track="profile-work-strip-authors" href="https://ntua.academia.edu/GeorgeYannis">George Yannis</a></span></div><div class="wp-workCard_item"><span>Transportation Research Part F-traffic Psychology and Behaviour,Vol. 12,Issue 3</span><span>, May 2009</span></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">This paper concerns a review and critical assessment of the existing research on pedestrian behav...</span><a class="js-work-more-abstract" data-broccoli-component="work_strip.more_abstract" data-click-track="profile-work-strip-more-abstract" href="javascript:;"><span> more </span><span><i class="fa fa-caret-down"></i></span></a><span class="js-work-more-abstract-untruncated hidden">This paper concerns a review and critical assessment of the existing research on pedestrian behaviour in urban areas, focusing on two separate yet complementary aspects: route choice and crossing behaviour. First, an exhaustive review of the existing route choice models for pedestrians is presented. It is shown that the existing models are mainly more stochastic and more macroscopic than required and seldom incorporate the interactions between pedestrians and traffic. 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First, road fatalities are in...</span><a class="js-work-more-abstract" data-broccoli-component="work_strip.more_abstract" data-click-track="profile-work-strip-more-abstract" href="javascript:;"><span> more </span><span><i class="fa fa-caret-down"></i></span></a><span class="js-work-more-abstract-untruncated hidden">This paper presents an overview of the road safety issue in Greece. First, road fatalities are investigated, and their characteristics and temporal and other variations are analysed. Then the severity of accidents is presented. It is found that the most serious accident types in Greece do not include head on collisions, as expected, but collisions to fixed object or vehicle, pedestrian accidents and coming off the road. Then, a comparison of road accidents in Greece to the fourteen other EU countries is carried out. The trends show that Greece is in one of the worst positions within the EU. Greece seems also to belong to a group of countries, including South European countries and Ireland, which present road safety characteristics significantly different from those of the other EU countries. The reasons for these differences are explained in detail. Finally, the paper proceeds to a description of the safety measures already implemented in Greece, and concludes with recommendations for improving road safety in this country.</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="5909819"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span><span id="work-strip-rankings-button-container"></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="5909819"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 5909819; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=5909819]").text(description); $(".js-view-count[data-work-id=5909819]").attr('title', description).tooltip(); }); });</script></span></span><span><span class="percentile-widget hidden"><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 5909819; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-work-strip[data-work-id='5909819']"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></span><span><script>$(function() { new Works.PaperRankView({ workId: 5909819, container: "", }); });</script></span></div><div id="work-strip-premium-row-container"></div></div></div><script> require.config({ waitSeconds: 90 })(["https://a.academia-assets.com/assets/wow_profile-f77ea15d77ce96025a6048a514272ad8becbad23c641fc2b3bd6e24ca6ff1932.js","https://a.academia-assets.com/assets/work_edit-ad038b8c047c1a8d4fa01b402d530ff93c45fee2137a149a4a5398bc8ad67560.js"], function() { // from javascript_helper.rb var dispatcherData = {} if (false){ window.WowProfile.dispatcher = window.WowProfile.dispatcher || _.clone(Backbone.Events); dispatcherData = { dispatcher: window.WowProfile.dispatcher, downloadLinkId: "-1" } } $('.js-work-strip[data-work-id=5909819]').each(function() { if (!$(this).data('initialized')) { new WowProfile.WorkStripView({ el: this, workJSON: {"id":5909819,"title":"An overview of road safety in Greece","translated_title":"","metadata":{"abstract":"This paper presents an overview of the road safety issue in Greece. First, road fatalities are investigated, and their characteristics and temporal and other variations are analysed. Then the severity of accidents is presented. It is found that the most serious accident types in Greece do not include head on collisions, as expected, but collisions to fixed object or vehicle, pedestrian accidents and coming off the road. Then, a comparison of road accidents in Greece to the fourteen other EU countries is carried out. The trends show that Greece is in one of the worst positions within the EU. Greece seems also to belong to a group of countries, including South European countries and Ireland, which present road safety characteristics significantly different from those of the other EU countries. The reasons for these differences are explained in detail. 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Greece seems also to belong to a group of countries, including South European countries and Ireland, which present road safety characteristics significantly different from those of the other EU countries. The reasons for these differences are explained in detail. Finally, the paper proceeds to a description of the safety measures already implemented in Greece, and concludes with recommendations for improving road safety in this country.","internal_url":"https://www.academia.edu/5909819/An_overview_of_road_safety_in_Greece","translated_internal_url":"","created_at":"2014-02-01T02:05:48.142-08:00","preview_url":null,"current_user_can_edit":null,"current_user_is_owner":null,"owner_id":8763802,"coauthors_can_edit":true,"document_type":"paper","co_author_tags":[{"id":19115601,"work_id":5909819,"tagging_user_id":8763802,"tagged_user_id":419950,"co_author_invite_id":null,"email":"g***s@gmail.com","affiliation":"National Technical University of Athens","display_order":0,"name":"George Yannis","title":"An overview of road safety in Greece"}],"downloadable_attachments":[],"slug":"An_overview_of_road_safety_in_Greece","translated_slug":"","page_count":null,"language":"en","content_type":"Work","owner":{"id":8763802,"first_name":"John","middle_initials":null,"last_name":"Golias","page_name":"JohnGolias","domain_name":"ntua","created_at":"2014-02-01T01:12:39.447-08:00","display_name":"John Golias","url":"https://ntua.academia.edu/JohnGolias"},"attachments":[],"research_interests":[{"id":20436,"name":"Urban And Regional Planning","url":"https://www.academia.edu/Documents/in/Urban_And_Regional_Planning"}],"urls":[{"id":2334151,"url":"http://dx.doi.org/10.1080/01441649608716959"}]}, dispatcherData: dispatcherData }); 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A broad overview of a series of driver-assistance systems under development or in some cases already available is presented and it identi®es the basic characteristics of each system and its expected impact on tra c e ciency and road safety. The latter is assessed on the basis of appropriate evaluation criteria. Expert judgement and literature evidence available are used in this context. This impact approach, in contrast with the usually adopted user or system-oriented approaches, allows for more appropriate identi®cation of the priorities in the ®eld of future research, development and promotion of driver-assistance systems. The proposed classi®cation allocates the driver-assistance systems in four diVerent categories on the basis of whether tra c e ciency and safety impact are high or low. This categorization reveals that 40% of the systems considered are expected to have a high safety and low tra c-e ciency impact, while only 15% is expected to have both impacts high. of users of both equipped and non-equipped vehicles, and alleviate accident consequences by in-vehicle intelligent injury-reducing systems .","publication_date":{"day":null,"month":1,"year":2002,"errors":{}},"publication_name":"Transport reviews 22 (2), 179-196","grobid_abstract_attachment_id":49093473},"translated_abstract":null,"internal_url":"https://www.academia.edu/5909299/Classification_of_driver_assistance_systems_according_to_their_impact_on_road_safety_and_traffic_efficiency","translated_internal_url":"","created_at":"2014-02-01T01:13:52.665-08:00","preview_url":null,"current_user_can_edit":null,"current_user_is_owner":null,"owner_id":8763802,"coauthors_can_edit":true,"document_type":"paper","co_author_tags":[{"id":19115521,"work_id":5909299,"tagging_user_id":8763802,"tagged_user_id":152985,"co_author_invite_id":null,"email":"c***s@alum.mit.edu","affiliation":"Technical University of Munich","display_order":0,"name":"Constantinos Antoniou","title":"Classification of driver-assistance systems according to their impact on road safety and traffic efficiency"},{"id":19115596,"work_id":5909299,"tagging_user_id":8763802,"tagged_user_id":419950,"co_author_invite_id":null,"email":"g***s@gmail.com","affiliation":"National Technical University of Athens","display_order":4194304,"name":"George Yannis","title":"Classification of driver-assistance systems according to their impact on road safety and traffic efficiency"}],"downloadable_attachments":[{"id":49093473,"title":"","file_type":"pdf","scribd_thumbnail_url":"https://attachments.academia-assets.com/49093473/thumbnails/1.jpg","file_name":"paper_37.pdf","download_url":"https://www.academia.edu/attachments/49093473/download_file?st=MTczMjQwMzkxNyw4LjIyMi4yMDguMTQ2&st=MTczMjQwMzkxNyw4LjIyMi4yMDguMTQ2&","bulk_download_file_name":"Classification_of_driver_assistance_syst.pdf","bulk_download_url":"https://d1wqtxts1xzle7.cloudfront.net/49093473/paper_37-libre.pdf?1474759785=\u0026response-content-disposition=attachment%3B+filename%3DClassification_of_driver_assistance_syst.pdf\u0026Expires=1732407517\u0026Signature=ZMvQrEqPc28AQEkC-Bqn-8b8yVfiZMLnrnM6O4ru53r5BmvjdjzMvY8YXC7C-adwhUcKkoNlhgSnSkUdN4UUwP0vXuFFTHzWjbpvpSwymOpplosXJgT9g3PMFyJYl-yFCzfhJskpOyIvVUNdpt8BE~6U9CGjsLmOlAyKog3rE9A374ndQLCrr0A3GPi~QUgJir0OqynR9wHOq0tm3nMXWsFlMTNR97PgWBJ~iOECcJjEk8JoaHeVvQYE6af3fRLYwgoZx6t0RgypfmdoZLnxW9sz84PHGH1S3H9WoQDcVUiotMEiHexSLOn518Us73KkZ6PcjDXM-eJSyvx7wAsmYQ__\u0026Key-Pair-Id=APKAJLOHF5GGSLRBV4ZA"}],"slug":"Classification_of_driver_assistance_systems_according_to_their_impact_on_road_safety_and_traffic_efficiency","translated_slug":"","page_count":18,"language":"en","content_type":"Work","owner":{"id":8763802,"first_name":"John","middle_initials":null,"last_name":"Golias","page_name":"JohnGolias","domain_name":"ntua","created_at":"2014-02-01T01:12:39.447-08:00","display_name":"John Golias","url":"https://ntua.academia.edu/JohnGolias"},"attachments":[{"id":49093473,"title":"","file_type":"pdf","scribd_thumbnail_url":"https://attachments.academia-assets.com/49093473/thumbnails/1.jpg","file_name":"paper_37.pdf","download_url":"https://www.academia.edu/attachments/49093473/download_file?st=MTczMjQwMzkxNyw4LjIyMi4yMDguMTQ2&st=MTczMjQwMzkxNyw4LjIyMi4yMDguMTQ2&","bulk_download_file_name":"Classification_of_driver_assistance_syst.pdf","bulk_download_url":"https://d1wqtxts1xzle7.cloudfront.net/49093473/paper_37-libre.pdf?1474759785=\u0026response-content-disposition=attachment%3B+filename%3DClassification_of_driver_assistance_syst.pdf\u0026Expires=1732407517\u0026Signature=ZMvQrEqPc28AQEkC-Bqn-8b8yVfiZMLnrnM6O4ru53r5BmvjdjzMvY8YXC7C-adwhUcKkoNlhgSnSkUdN4UUwP0vXuFFTHzWjbpvpSwymOpplosXJgT9g3PMFyJYl-yFCzfhJskpOyIvVUNdpt8BE~6U9CGjsLmOlAyKog3rE9A374ndQLCrr0A3GPi~QUgJir0OqynR9wHOq0tm3nMXWsFlMTNR97PgWBJ~iOECcJjEk8JoaHeVvQYE6af3fRLYwgoZx6t0RgypfmdoZLnxW9sz84PHGH1S3H9WoQDcVUiotMEiHexSLOn518Us73KkZ6PcjDXM-eJSyvx7wAsmYQ__\u0026Key-Pair-Id=APKAJLOHF5GGSLRBV4ZA"}],"research_interests":[{"id":2358,"name":"Road safety","url":"https://www.academia.edu/Documents/in/Road_safety"},{"id":20436,"name":"Urban And Regional Planning","url":"https://www.academia.edu/Documents/in/Urban_And_Regional_Planning"},{"id":278365,"name":"Driver Assistance System","url":"https://www.academia.edu/Documents/in/Driver_Assistance_System"}],"urls":[{"id":2333938,"url":"http://www.informaworld.com/openurl?genre=article\u0026doi=10.1080/01441640110091215\u0026magic=crossref%7C%7CD404A21C5BB053405B1A640AFFD44AE3"}]}, dispatcherData: dispatcherData }); $(this).data('initialized', true); } }); $a.trackClickSource(".js-work-strip-work-link", "profile_work_strip") }); </script> <div class="js-work-strip profile--work_container" data-work-id="5909301"><div class="profile--work_thumbnail hidden-xs"><a class="js-work-strip-work-link" data-click-track="profile-work-strip-thumbnail" href="https://www.academia.edu/5909301/Determinants_of_combined_transports_market_share"><img alt="Research paper thumbnail of Determinants of combined transport's market share" class="work-thumbnail" src="https://attachments.academia-assets.com/32891587/thumbnails/1.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" href="https://www.academia.edu/5909301/Determinants_of_combined_transports_market_share">Determinants of combined transport's market share</a></div><div class="wp-workCard_item wp-workCard--coauthors"><span>by </span><span><a class="" data-click-track="profile-work-strip-authors" href="https://ntua.academia.edu/GeorgeYannis">George Yannis</a> and <a class="" data-click-track="profile-work-strip-authors" href="https://ntua.academia.edu/JohnGolias">John Golias</a></span></div><div class="wp-workCard_item"><span>Transport Logistics, Vol. 1, No. 4, pp. 251–264</span><span>, 1998</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><a id="fe3e13e66cde7359af9bee2471e28836" class="wp-workCard--action" rel="nofollow" data-click-track="profile-work-strip-download" data-download="{"attachment_id":32891587,"asset_id":5909301,"asset_type":"Work","button_location":"profile"}" href="https://www.academia.edu/attachments/32891587/download_file?st=MTczMjQwMzkxNyw4LjIyMi4yMDguMTQ2&st=MTczMjQwMzkxNyw4LjIyMi4yMDguMTQ2&s=profile"><span><i class="fa fa-arrow-down"></i></span><span>Download</span></a><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="5909301"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span><span id="work-strip-rankings-button-container"></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="5909301"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 5909301; 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Through the development of suitable logit models for the corridor Greece-Italy-Northern Europe, the modal choice decisions are put in a wider framework where cost and time parameters are examined together with parameters concerning transport facilities availability, government subsidies and company structure, leading thus to a more complete insight of how modal choice decisions are taken. Forwarders and carriers were treated separately as the former were found to have a significantly more positive approach towards combined transport than the latter. The analysis showed clearly that due to the limited development of the required infrastructure, the most important parameter affecting the future combined transport market share is the level of financial aid to the transport operators for the purchase of the required combined transport equipment. 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$(this).data('initialized', true); } }); $a.trackClickSource(".js-work-strip-work-link", "profile_work_strip") }); </script> <div class="js-work-strip profile--work_container" data-work-id="5916956"><div class="profile--work_thumbnail hidden-xs"><a class="js-work-strip-work-link" data-click-track="profile-work-strip-thumbnail" href="https://www.academia.edu/5916956/Travel_patterns_of_three_distinct_driver_age_groups_in_Greece"><img alt="Research paper thumbnail of Travel patterns of three distinct driver age groups in Greece" class="work-thumbnail" src="https://a.academia-assets.com/images/blank-paper.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" href="https://www.academia.edu/5916956/Travel_patterns_of_three_distinct_driver_age_groups_in_Greece">Travel patterns of three distinct driver age groups in Greece</a></div><div class="wp-workCard_item wp-workCard--coauthors"><span>by </span><span><a class="" data-click-track="profile-work-strip-authors" href="https://independent.academia.edu/IoannaSpyropoulou">Ioanna Spyropoulou</a>, <a class="" data-click-track="profile-work-strip-authors" href="https://ntua.academia.edu/JohnGolias">John Golias</a>, and <a class="" data-click-track="profile-work-strip-authors" href="https://ntua.academia.edu/GeorgeYannis">George Yannis</a></span></div><div class="wp-workCard_item"><span>Proceedings of The Institution of Civil Engineers-transport</span><span>, 2007</span></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">Résumé/Abstract Within this research the travel patterns of passenger car drivers are investigate...</span><a class="js-work-more-abstract" data-broccoli-component="work_strip.more_abstract" data-click-track="profile-work-strip-more-abstract" href="javascript:;"><span> more </span><span><i class="fa fa-caret-down"></i></span></a><span class="js-work-more-abstract-untruncated hidden">Résumé/Abstract Within this research the travel patterns of passenger car drivers are investigated in relation to their age, as recorded from a national travel survey conducted in Greece. For the needs of this research drivers are classified into three mutually exclusive age groups: young (18-24), adult (25-64) and elderly (65+). 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For that purpose, existing models are exploited and further developed. In particular, a nested logit model and a linear regression model are merged and adapted to develop a hierarchical crossing behavior model, allowing for the estimation of a distribution of crossing probabilities on an urban road link among junctions and various midblock locations. 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