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data analysis</title> <meta name="description" content="Search results for: ev crash data analysis"> <meta name="keywords" content="ev crash data analysis"> <meta name="viewport" content="width=device-width, initial-scale=1, minimum-scale=1, maximum-scale=1, user-scalable=no"> <meta charset="utf-8"> <link href="https://cdn.waset.org/favicon.ico" type="image/x-icon" rel="shortcut icon"> <link href="https://cdn.waset.org/static/plugins/bootstrap-4.2.1/css/bootstrap.min.css" rel="stylesheet"> <link href="https://cdn.waset.org/static/plugins/fontawesome/css/all.min.css" rel="stylesheet"> <link href="https://cdn.waset.org/static/css/site.css?v=150220211555" rel="stylesheet"> </head> <body> <header> <div class="container"> <nav class="navbar navbar-expand-lg navbar-light"> <a class="navbar-brand" href="https://waset.org"> <img src="https://cdn.waset.org/static/images/wasetc.png" alt="Open Science Research Excellence" title="Open Science Research Excellence" /> </a> <button class="d-block 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action="https://publications.waset.org/abstracts/search"> <div id="custom-search-input"> <div class="input-group"> <i class="fas fa-search"></i> <input type="text" class="search-query" name="q" placeholder="Author, Title, Abstract, Keywords" value="ev crash data analysis"> <input type="submit" class="btn_search" value="Search"> </div> </div> </form> </div> </div> <div class="row mt-3"> <div class="col-sm-3"> <div class="card"> <div class="card-body"><strong>Commenced</strong> in January 2007</div> </div> </div> <div class="col-sm-3"> <div class="card"> <div class="card-body"><strong>Frequency:</strong> Monthly</div> </div> </div> <div class="col-sm-3"> <div class="card"> <div class="card-body"><strong>Edition:</strong> International</div> </div> </div> <div class="col-sm-3"> <div class="card"> <div class="card-body"><strong>Paper Count:</strong> 42185</div> </div> </div> </div> <h1 class="mt-3 mb-3 text-center" style="font-size:1.6rem;">Search results for: ev crash data analysis</h1> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">42185</span> Performances of Two-Segment Crash Box with Holes under Oblique Load</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Moch%20Agus%20Choiron">Moch Agus Choiron</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Crash box design has been developed to obtain optimum energy absorption. In this study, two-segment crash box design with holes is investigated under oblique load. The deformation behavior and crash energy absorption are observed. The analysis was performed using finite element method. The crash test components were impactor, crash box, and fixed rigid base. Impactor and the fixed base material are modelled as a rigid, and crash box material as bilinear isotropic hardening. The models consist of 2 and 4 holes laid within ¼, ½ and ¾ from first segment length. 100 mm aluminum crash box and frontal crash velocity of 16 km/jam were selected. Based on simulation results, it can be concluded that 2 holes located at ¾ has the largest crash energy absorption. This behavior associated with deformation pattern, which produces higher number of folding than other models. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=crash%20Box" title="crash Box">crash Box</a>, <a href="https://publications.waset.org/abstracts/search?q=two-segments" title=" two-segments"> two-segments</a>, <a href="https://publications.waset.org/abstracts/search?q=holes%20configuration" title=" holes configuration"> holes configuration</a>, <a href="https://publications.waset.org/abstracts/search?q=oblique%20load" title=" oblique load"> oblique load</a>, <a href="https://publications.waset.org/abstracts/search?q=deformation%20pattern" title=" deformation pattern"> deformation pattern</a> </p> <a href="https://publications.waset.org/abstracts/40085/performances-of-two-segment-crash-box-with-holes-under-oblique-load" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/40085.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">360</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">42184</span> Latent Factors of Severity in Truck-Involved and Non-Truck-Involved Crashes on Freeways</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Shin-Hyung%20Cho">Shin-Hyung Cho</a>, <a href="https://publications.waset.org/abstracts/search?q=Dong-Kyu%20Kim"> Dong-Kyu Kim</a>, <a href="https://publications.waset.org/abstracts/search?q=Seung-Young%20Kho"> Seung-Young Kho</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Truck-involved crashes have higher crash severity than non-truck-involved crashes. There have been many studies about the frequency of crashes and the development of severity models, but those studies only analyzed the relationship between observed variables. To identify why more people are injured or killed when trucks are involved in the crash, we must examine to quantify the complex causal relationship between severity of the crash and risk factors by adopting the latent factors of crashes. The aim of this study was to develop a structural equation or model based on truck-involved and non-truck-involved crashes, including five latent variables, i.e. a crash factor, environmental factor, road factor, driver’s factor, and severity factor. To clarify the unique characteristics of truck-involved crashes compared to non-truck-involved crashes, a confirmatory analysis method was used. To develop the model, we extracted crash data from 10,083 crashes on Korean freeways from 2008 through 2014. The results showed that the most significant variable affecting the severity of a crash is the crash factor, which can be expressed by the location, cause, and type of the crash. For non-truck-involved crashes, the crash and environment factors increase severity of the crash; conversely, the road and driver factors tend to reduce severity of the crash. For truck-involved crashes, the driver factor has a significant effect on severity of the crash although its effect is slightly less than the crash factor. The multiple group analysis employed to analyze the differences between the heterogeneous groups of drivers. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=crash%20severity" title="crash severity">crash severity</a>, <a href="https://publications.waset.org/abstracts/search?q=structural%20structural%20equation%20modeling%20%28SEM%29" title=" structural structural equation modeling (SEM)"> structural structural equation modeling (SEM)</a>, <a href="https://publications.waset.org/abstracts/search?q=truck-involved%20crashes" title=" truck-involved crashes"> truck-involved crashes</a>, <a href="https://publications.waset.org/abstracts/search?q=multiple%20group%20analysis" title=" multiple group analysis"> multiple group analysis</a>, <a href="https://publications.waset.org/abstracts/search?q=crash%20on%20freeway" title=" crash on freeway"> crash on freeway</a> </p> <a href="https://publications.waset.org/abstracts/69612/latent-factors-of-severity-in-truck-involved-and-non-truck-involved-crashes-on-freeways" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/69612.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">383</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">42183</span> Relationship between Driving under the Influence and Traffic Safety</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Eun%20Hak%20Lee">Eun Hak Lee</a>, <a href="https://publications.waset.org/abstracts/search?q=Young-Hyun%20Seo"> Young-Hyun Seo</a>, <a href="https://publications.waset.org/abstracts/search?q=Hosuk%20Shin"> Hosuk Shin</a>, <a href="https://publications.waset.org/abstracts/search?q=Seung-Young%20Kho"> Seung-Young Kho</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Among traffic crashes, driving under the influence (DUI) of alcohol is the most dangerous behavior in Seoul, South Korea. In 2016 alone 40 deaths occurred on of 2,857 cases of DUI. Since DUI is one of the major factors in increasing the severity of crashes, the intensive management of DUI required to reduce traffic crash deaths and the crash damages. This study aims to investigate the relationship between DUI and traffic safety in order to establish countermeasures for traffic safety improvement. The analysis was conducted on the habitual drivers who drove under the influence. Information of habitual drivers is matched to crash data and fine data. The descriptive statistics on data used in this study, which consists of driver license acquisition, traffic fine, and crash data provided by the Korean National Police Agency, are described. The drivers under the influence are classified by statistically significant criteria, such as driver’s age, license type, driving experience, and crash reasons. With the results of the analysis, we propose some countermeasures to enhance traffic safety. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=driving%20under%20influence" title="driving under influence">driving under influence</a>, <a href="https://publications.waset.org/abstracts/search?q=traffic%20safety" title=" traffic safety"> traffic safety</a>, <a href="https://publications.waset.org/abstracts/search?q=traffic%20crash" title=" traffic crash"> traffic crash</a>, <a href="https://publications.waset.org/abstracts/search?q=traffic%20fine" title=" traffic fine"> traffic fine</a> </p> <a href="https://publications.waset.org/abstracts/85925/relationship-between-driving-under-the-influence-and-traffic-safety" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/85925.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">222</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">42182</span> Geographic Information System-Based Identification of Road Traffic Crash Hotspots on Rural Roads in Oman</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Mohammed%20Bakhit%20Kashoob">Mohammed Bakhit Kashoob</a>, <a href="https://publications.waset.org/abstracts/search?q=Mohammed%20Salim%20Al-Maashani"> Mohammed Salim Al-Maashani</a>, <a href="https://publications.waset.org/abstracts/search?q=Ahmed%20Abdullah%20Al-Marhoon"> Ahmed Abdullah Al-Marhoon</a> </p> <p class="card-text"><strong>Abstract:</strong></p> The use of Geographic Information System (GIS) tools in the analysis of traffic crash data can help to identify locations or hotspots with high instances or risk of traffic crashes. The identification of traffic crash hotspots can effectively improve road safety measures. Mapping of road traffic crash hotspots can help the concerned authorities to give priority and take targeted measures and improvements to the road structure at these locations to reduce traffic crashes and fatalities. In Oman, there are countless rural roads that have more risks for traveling vehicles compared to urban roads. The likelihood of traffic crashes as well as fatality rate may increase with the presence of risks that are associated with the rural type of community. In this paper, the traffic crash hotspots on rural roads in Oman are specified using spatial analysis methods in GIS and traffic crash data. These hotspots are ranked based on the frequency of traffic crash occurrence (i.e., number of traffic crashes) and the rate of fatalities. The result of this study presents a map visualization of locations on rural roads with high traffic crashes and high fatalities rates. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=road%20safety" title="road safety">road safety</a>, <a href="https://publications.waset.org/abstracts/search?q=rural%20roads" title=" rural roads"> rural roads</a>, <a href="https://publications.waset.org/abstracts/search?q=traffic%20crash" title=" traffic crash"> traffic crash</a>, <a href="https://publications.waset.org/abstracts/search?q=GIS%20tools" title=" GIS tools"> GIS tools</a> </p> <a href="https://publications.waset.org/abstracts/153334/geographic-information-system-based-identification-of-road-traffic-crash-hotspots-on-rural-roads-in-oman" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/153334.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">149</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">42181</span> Accidents Involving Pedestrians Walking along with/against Traffic: An Evaluation of Crash Characteristics and Injuries</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Chih-Wei%20Pai">Chih-Wei Pai</a>, <a href="https://publications.waset.org/abstracts/search?q=Rong-Chang%20Jou"> Rong-Chang Jou</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Using A1 A2 police-reported accident data for years 2003–2010 in Taiwan, the paper examines anatomic injuries and crash characteristics specific to pedestrians in “facing traffic” and “back to traffic” crashes. There were 2768 and 7558 accidents involving pedestrians walking along with/against traffic respectively. Injuries sustained by pedestrians and crash characteristics in these two crash types were compared with those in other crash types (nearside crash, nearside dart-out crash, offside crash, offside dart-out crash). Main findings include that “back to traffic” crashes resulted in more severe injuries, and pedestrians in “back to traffic” crashes had increased head, neck, and spine injuries than those in other crash types; and there was an elevated risk of head injuries in unlit darkness and NBU (non-built-up) roadways. Several crash features (e.g. unlit darkness, overtaking maneuvers, phone use by pedestrians and drivers, intoxicated drivers) appear to be over-involved in “back to traffic” crashes. The implications of the research findings regarding pedestrian/driver education, enforcement, and remedial engineering design are discussed. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=pedestrian%20accident" title="pedestrian accident">pedestrian accident</a>, <a href="https://publications.waset.org/abstracts/search?q=crash%20characteristics" title=" crash characteristics"> crash characteristics</a>, <a href="https://publications.waset.org/abstracts/search?q=injury" title=" injury"> injury</a>, <a href="https://publications.waset.org/abstracts/search?q=facing%20traffic" title=" facing traffic"> facing traffic</a>, <a href="https://publications.waset.org/abstracts/search?q=back%20to%20traffic" title=" back to traffic"> back to traffic</a> </p> <a href="https://publications.waset.org/abstracts/28180/accidents-involving-pedestrians-walking-along-withagainst-traffic-an-evaluation-of-crash-characteristics-and-injuries" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/28180.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">378</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">42180</span> Explanatory Variables for Crash Injury Risk Analysis</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Guilhermina%20Torrao">Guilhermina Torrao</a> </p> <p class="card-text"><strong>Abstract:</strong></p> An extensive number of studies have been conducted to determine the factors which influence crash injury risk (CIR); however, uncertainties inherent to selected variables have been neglected. A review of existing literature is required to not only obtain an overview of the variables and measures but also ascertain the implications when comparing studies without a systematic view of variable taxonomy. Therefore, the aim of this literature review is to examine and report on peer-reviewed studies in the field of crash analysis and to understand the implications of broad variations in variable selection in CIR analysis. The objective of this study is to demonstrate the variance in variable selection and classification when modeling injury risk involving occupants of light vehicles by presenting an analytical review of the literature. Based on data collected from 64 journal publications reported over the past 21 years, the analytical review discusses the variables selected by each study across an organized list of predictors for CIR analysis and provides a better understanding of the contribution of accident and vehicle factors to injuries acquired by occupants of light vehicles. A cross-comparison analysis demonstrates that almost half the studies (48%) did not consider vehicle design specifications (e.g., vehicle weight), whereas, for those that did, the vehicle age/model year was the most selected explanatory variable used by 41% of the literature studies. For those studies that included speed risk factor in their analyses, the majority (64%) used the legal speed limit data as a ‘proxy’ of vehicle speed at the moment of a crash, imposing limitations for CIR analysis and modeling. Despite the proven efficiency of airbags in minimizing injury impact following a crash, only 22% of studies included airbag deployment data. A major contribution of this study is to highlight the uncertainty linked to explanatory variable selection and identify opportunities for improvements when performing future studies in the field of road injuries. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=crash" title="crash">crash</a>, <a href="https://publications.waset.org/abstracts/search?q=exploratory" title=" exploratory"> exploratory</a>, <a href="https://publications.waset.org/abstracts/search?q=injury" title=" injury"> injury</a>, <a href="https://publications.waset.org/abstracts/search?q=risk" title=" risk"> risk</a>, <a href="https://publications.waset.org/abstracts/search?q=variables" title=" variables"> variables</a>, <a href="https://publications.waset.org/abstracts/search?q=vehicle" title=" vehicle"> vehicle</a> </p> <a href="https://publications.waset.org/abstracts/132606/explanatory-variables-for-crash-injury-risk-analysis" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/132606.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">135</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">42179</span> Options Trading and Crash Risk</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Cameron%20Truong">Cameron Truong</a>, <a href="https://publications.waset.org/abstracts/search?q=Mikhail%20Bhatia"> Mikhail Bhatia</a>, <a href="https://publications.waset.org/abstracts/search?q=Yangyang%20Chen"> Yangyang Chen</a>, <a href="https://publications.waset.org/abstracts/search?q=Viet%20Nga%20Cao"> Viet Nga Cao</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Using a sample of U.S. firms between 1996 and 2011, this paper documents a positive association between options trading volume and future stock price crash risk. This relation is evidently more pronounced among firms with higher information asymmetry, business uncertainty, and short-sale constraints. In a dichotomous cross-sectional setting, we also document that firms with options trading have higher future crash risk than firms without options trading. We further show in a difference-in-difference analysis that firms experience an increase in crash risk immediately after the listing of options. The results suggest that options traders are able of identifying bad news hoarding by management and choose to trade in a liquid options market in anticipation of future crashes. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=bad%20news%20hoarding" title="bad news hoarding">bad news hoarding</a>, <a href="https://publications.waset.org/abstracts/search?q=cross-sectional%20setting" title=" cross-sectional setting"> cross-sectional setting</a>, <a href="https://publications.waset.org/abstracts/search?q=options%20trading" title=" options trading"> options trading</a>, <a href="https://publications.waset.org/abstracts/search?q=stock%20price%20crash" title=" stock price crash"> stock price crash</a> </p> <a href="https://publications.waset.org/abstracts/22837/options-trading-and-crash-risk" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/22837.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">449</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">42178</span> Financial Ethics: A Review of 2010 Flash Crash</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Omer%20Farooq">Omer Farooq</a>, <a href="https://publications.waset.org/abstracts/search?q=Salman%20Ahmed%20Khan"> Salman Ahmed Khan</a>, <a href="https://publications.waset.org/abstracts/search?q=Sadaf%20Khalid"> Sadaf Khalid</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Modern day stock markets have almost entirely became automated. Even though it means increased profits for the investors by algorithms acting upon the slightest price change in order of microseconds, it also has given birth to many ethical dilemmas in the sense that slightest mistake can cause people to lose all of their livelihoods. This paper reviews one such event that happened on May 06, 2010 in which $1 trillion dollars disappeared from the Dow Jones Industrial Average. We are going to discuss its various aspects and the ethical dilemmas that have arisen due to it. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=flash%20crash" title="flash crash">flash crash</a>, <a href="https://publications.waset.org/abstracts/search?q=market%20crash" title=" market crash"> market crash</a>, <a href="https://publications.waset.org/abstracts/search?q=stock%20market" title=" stock market"> stock market</a>, <a href="https://publications.waset.org/abstracts/search?q=stock%20market%20crash" title=" stock market crash"> stock market crash</a> </p> <a href="https://publications.waset.org/abstracts/10063/financial-ethics-a-review-of-2010-flash-crash" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/10063.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">520</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">42177</span> The Influence of Environmental Attributes on Children's Pedestrian-Crash Risk in School Zones</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Jeongwoo%20Lee">Jeongwoo Lee</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Children are the most vulnerable travelers and they are at risk for pedestrian injury. Creating a safe route to school is important because walking to school is one of the main opportunities for promotion of needed physical exercise among children. This study examined how the built environmental attributes near an elementary school influence traffic accidents among school-aged children. The study used two complementary data sources including the locations of police-reported pedestrian crashes and the built environmental characteristics of school areas. The environmental attributes of road segments were collected through GIS measurements of local data and actual site audits using the inventory developed for measuring pedestrian-crash risk scores. The inventory data collected at 840 road segments near 32 elementary schools in the city of Ulsan. We observed all segments in a 300-meter-radius area from the entrance of an elementary school. Segments are street block faces. The inventory included 50 items, organized into four domains: accessibility (17items), pleasurability (11items), perceived safety from traffic (9items), and traffic and land-use measures (13items). Elementary schools were categorized into two groups based on the distribution of the pedestrian-crash hazard index scores. A high pedestrian-crash zone was defined as an school area within the eighth, ninth, and tenth deciles, while no pedestrian-crash zone was defined as a school zone with no pedestrian-crash accident among school-aged children between 2013 and 2016. No- and high pedestrian-crash zones were compared to determine whether different settings of the built environment near the school lead to a different rate of pedestrian-crash incidents. The results showed that a crash risk can be influenced by several environmental factors such as a shape of school-route, number of intersections, visibility and land-use in a street, and a type of sidewalk. The findings inform policy for creating safe routes to school to reduce the pedestrian-crash risk among children by focusing on school zones. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=active%20school%20travel" title="active school travel">active school travel</a>, <a href="https://publications.waset.org/abstracts/search?q=school%20zone" title=" school zone"> school zone</a>, <a href="https://publications.waset.org/abstracts/search?q=pedestrian%20crash" title=" pedestrian crash"> pedestrian crash</a>, <a href="https://publications.waset.org/abstracts/search?q=safety%20route%20to%20school" title=" safety route to school"> safety route to school</a> </p> <a href="https://publications.waset.org/abstracts/69990/the-influence-of-environmental-attributes-on-childrens-pedestrian-crash-risk-in-school-zones" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/69990.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">245</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">42176</span> Characteristics of the Severe Rollover Crashes in the UAE Using In-Depth Crash Investigation Data</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Yaser%20E.%20Hawas">Yaser E. Hawas</a>, <a href="https://publications.waset.org/abstracts/search?q=Md.%20Didarul%20Alam"> Md. Didarul Alam</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Rollover crashes are complex events entailing interactions of driver, road, vehicle, and environmental factors. The primary objective of this paper is to present an empirical approach that can be used to characterise the rollover crashes and to identify some of the important factors that may lead to rollovers. Among the studied factors are the vehicle types and the rollover occurrence rate after hitting various barrier types. The carried analysis indicated that 71% of the rollover crashes occurred after impact and the type of rollover initiation is “trip/turn over” (nearly 50%). It was also found that light trucks (LTVs) vehicles are more likely to rollover than the sedan vehicles. Barrier impacts are associated with increased incidence of rollover. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=empirical" title="empirical">empirical</a>, <a href="https://publications.waset.org/abstracts/search?q=hitting%20barrier" title=" hitting barrier"> hitting barrier</a>, <a href="https://publications.waset.org/abstracts/search?q=in-depth%20crash%20investigation" title=" in-depth crash investigation"> in-depth crash investigation</a>, <a href="https://publications.waset.org/abstracts/search?q=rollover" title=" rollover"> rollover</a>, <a href="https://publications.waset.org/abstracts/search?q=severe%20crash" title=" severe crash"> severe crash</a> </p> <a href="https://publications.waset.org/abstracts/82681/characteristics-of-the-severe-rollover-crashes-in-the-uae-using-in-depth-crash-investigation-data" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/82681.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">372</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">42175</span> Environment-Specific Political Risk Discourse, Environmental Reputation, and Stock Price Crash Risk</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Sohanur%20Rahman">Sohanur Rahman</a>, <a href="https://publications.waset.org/abstracts/search?q=Elisabeth%20Sinnewe"> Elisabeth Sinnewe</a>, <a href="https://publications.waset.org/abstracts/search?q=Larelle%20%28Ellie%29%E2%80%AFChapple"> Larelle (Ellie) Chapple</a>, <a href="https://publications.waset.org/abstracts/search?q=Sarah%20Osborne"> Sarah Osborne</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Greater political attention to global climate change exposes firms to a higher level of political uncertainty, which can lead to adverse capital market consequences. However, a higher level of discourse on environment-specific political risk (EPR) between management and investors can mitigate information asymmetry, followed by less stock price crash risk. This study examines whether EPR discourse in discourse in the earnings conference calls (ECC) reduces firm-level stock price crash risk in the US market. This research also explores if adverse disclosures via media channels further moderates the association between EPR on crash risk. Employing a dataset of 28,933 firm-year observations from 2002 to 2020, the empirical analysis reveals that EPR discourse in ECC reduces future stock price crash risk. However, adverse disclosures via media channels can offset the favourable effect of EPR discourse on crash risk. The results are robust to the potential endogeneity concern in a quasi-natural experiment setting. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=earnings%20conference%20calls" title="earnings conference calls">earnings conference calls</a>, <a href="https://publications.waset.org/abstracts/search?q=environment" title=" environment"> environment</a>, <a href="https://publications.waset.org/abstracts/search?q=environment-specific%20political%20risk%20discourse" title=" environment-specific political risk discourse"> environment-specific political risk discourse</a>, <a href="https://publications.waset.org/abstracts/search?q=environmental%20disclosures" title=" environmental disclosures"> environmental disclosures</a>, <a href="https://publications.waset.org/abstracts/search?q=information%20asymmetry" title=" information asymmetry"> information asymmetry</a>, <a href="https://publications.waset.org/abstracts/search?q=reputation%20risk" title=" reputation risk"> reputation risk</a>, <a href="https://publications.waset.org/abstracts/search?q=stock%20price%20crash%20risk" title=" stock price crash risk"> stock price crash risk</a> </p> <a href="https://publications.waset.org/abstracts/152590/environment-specific-political-risk-discourse-environmental-reputation-and-stock-price-crash-risk" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/152590.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">141</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">42174</span> Probabilistic Crash Prediction and Prevention of Vehicle Crash</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Lavanya%20Annadi">Lavanya Annadi</a>, <a href="https://publications.waset.org/abstracts/search?q=Fahimeh%20Jafari"> Fahimeh Jafari</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Transportation brings immense benefits to society, but it also has its costs. Costs include such as the cost of infrastructure, personnel and equipment, but also the loss of life and property in traffic accidents on the road, delays in travel due to traffic congestion and various indirect costs in terms of air transport. More research has been done to identify the various factors that affect road accidents, such as road infrastructure, traffic, sociodemographic characteristics, land use, and the environment. The aim of this research is to predict the probabilistic crash prediction of vehicles using machine learning due to natural and structural reasons by excluding spontaneous reasons like overspeeding etc., in the United States. These factors range from weather factors, like weather conditions, precipitation, visibility, wind speed, wind direction, temperature, pressure, and humidity to human made structures like road structure factors like bump, roundabout, no exit, turning loop, give away, etc. Probabilities are dissected into ten different classes. All the predictions are based on multiclass classification techniques, which are supervised learning. This study considers all crashes that happened in all states collected by the US government. To calculate the probability, multinomial expected value was used and assigned a classification label as the crash probability. We applied three different classification models, including multiclass Logistic Regression, Random Forest and XGBoost. The numerical results show that XGBoost achieved a 75.2% accuracy rate which indicates the part that is being played by natural and structural reasons for the crash. The paper has provided in-deep insights through exploratory data analysis. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=road%20safety" title="road safety">road safety</a>, <a href="https://publications.waset.org/abstracts/search?q=crash%20prediction" title=" crash prediction"> crash prediction</a>, <a href="https://publications.waset.org/abstracts/search?q=exploratory%20analysis" title=" exploratory analysis"> exploratory analysis</a>, <a href="https://publications.waset.org/abstracts/search?q=machine%20learning" title=" machine learning"> machine learning</a> </p> <a href="https://publications.waset.org/abstracts/148423/probabilistic-crash-prediction-and-prevention-of-vehicle-crash" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/148423.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">112</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">42173</span> A Consideration on the Offset Frontal Impact Modeling Using Spring-Mass Model</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Jaemoon%20Lim">Jaemoon Lim</a> </p> <p class="card-text"><strong>Abstract:</strong></p> To construct the lumped spring-mass model considering the occupants for the offset frontal crash, the SISAME software and the NHTSA test data were used. The data on 56 kph 40% offset frontal vehicle to deformable barrier crash test of a MY2007 Mazda 6 4-door sedan were obtained from NHTSA test database. The overall behaviors of B-pillar and engine of simulation models agreed very well with the test data. The trends of accelerations at the driver and passenger head were similar but big differences in peak values. The differences of peak values caused the large errors of the HIC36 and 3 ms chest g’s. To predict well the behaviors of dummies, the spring-mass model for the offset frontal crash needs to be improved. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=chest%20g%E2%80%99s" title="chest g’s">chest g’s</a>, <a href="https://publications.waset.org/abstracts/search?q=HIC36" title=" HIC36"> HIC36</a>, <a href="https://publications.waset.org/abstracts/search?q=lumped%20spring-mass%20model" title=" lumped spring-mass model"> lumped spring-mass model</a>, <a href="https://publications.waset.org/abstracts/search?q=offset%20frontal%20impact" title=" offset frontal impact"> offset frontal impact</a>, <a href="https://publications.waset.org/abstracts/search?q=SISAME" title=" SISAME"> SISAME</a> </p> <a href="https://publications.waset.org/abstracts/32557/a-consideration-on-the-offset-frontal-impact-modeling-using-spring-mass-model" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/32557.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">457</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">42172</span> Review of the Road Crash Data Availability in Iraq </h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Abeer%20K.%20Jameel">Abeer K. Jameel</a>, <a href="https://publications.waset.org/abstracts/search?q=Harry%20Evdorides"> Harry Evdorides </a> </p> <p class="card-text"><strong>Abstract:</strong></p> Iraq is a middle income country where the road safety issue is considered one of the leading causes of deaths. To control the road risk issue, the Iraqi Ministry of Planning, General Statistical Organization started to organise a collection system of traffic accidents data with details related to their causes and severity. These data are published as an annual report. In this paper, a review of the available crash data in Iraq will be presented. The available data represent the rate of accidents in aggregated level and classified according to their types, road users’ details, and crash severity, type of vehicles, causes and number of causalities. The review is according to the types of models used in road safety studies and research, and according to the required road safety data in the road constructions tasks. The available data are also compared with the road safety dataset published in the United Kingdom as an example of developed country. It is concluded that the data in Iraq are suitable for descriptive and exploratory models, aggregated level comparison analysis, and evaluation and monitoring the progress of the overall traffic safety performance. However, important traffic safety studies require disaggregated level of data and details related to the factors of the likelihood of traffic crashes. Some studies require spatial geographic details such as the location of the accidents which is essential in ranking the roads according to their level of safety, and name the most dangerous roads in Iraq which requires tactic plan to control this issue. Global Road safety agencies interested in solve this problem in low and middle-income countries have designed road safety assessment methodologies which are basing on the road attributes data only. Therefore, in this research it is recommended to use one of these methodologies. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=road%20safety" title="road safety">road safety</a>, <a href="https://publications.waset.org/abstracts/search?q=Iraq" title=" Iraq"> Iraq</a>, <a href="https://publications.waset.org/abstracts/search?q=crash%20data" title=" crash data"> crash data</a>, <a href="https://publications.waset.org/abstracts/search?q=road%20risk%20assessment" title=" road risk assessment"> road risk assessment</a>, <a href="https://publications.waset.org/abstracts/search?q=The%20International%20Road%20Assessment%20Program%20%28iRAP%29" title=" The International Road Assessment Program (iRAP)"> The International Road Assessment Program (iRAP)</a> </p> <a href="https://publications.waset.org/abstracts/70430/review-of-the-road-crash-data-availability-in-iraq" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/70430.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">256</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">42171</span> Vision Zero for the Caribbean Using the Systemic Approach for Road Safety: A Case Study Analyzing Jamaican Road Crash Data (Ongoing)</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Rachelle%20McFarlane">Rachelle McFarlane</a> </p> <p class="card-text"><strong>Abstract:</strong></p> The Second Decade of Action Road Safety has begun with increased focus on countries who are disproportionately affected by road fatalities. Researchers highlight the low effectiveness of road safety campaigns in Latin America and the Caribbean (LAC) still reporting approximately 130,000 deaths and six million injuries annually. The regional fatality rate 19.2 per 100,000 with heightened concern for persons 15 to 44 years. In 2021, 483 Jamaicans died in 435 crashes, with 33% of these fatalities occurring during Covid-19 curfew hours. The study objective is to conduct a systemic safety review of Jamaican road crashes and provide a framework for its use in complementing traditional methods. The methodology involves the use of the FHWA Systemic Safety Project Selection Tool for analysis. This tool reviews systemwide data in order to identify risk factors across the network associated with severe and fatal crashes, rather that only hotspots. A total of 10,379 crashes with 745 fatalities and serious injuries were reviewed. Of the focus crash types listed, 50% of ‘Pedestrian Accidents’ resulted in fatalities and serious injuries, followed by 32% ‘Bicycle’, 24% ‘Single’ and 12% of ‘Head-on’. This study seeks to understand the associated risk factors with these priority crash types across the network and recommend cost-effective countermeasures across common sites. As we press towards Vision Zero, the inclusion of the systemic safety review method, complementing traditional methods, may create a wider impact in reducing road fatalities and serious injury by targeting issues across network with similarities; focus crash types and contributing factors. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=systemic%20safety%20review" title="systemic safety review">systemic safety review</a>, <a href="https://publications.waset.org/abstracts/search?q=risk%20factors" title=" risk factors"> risk factors</a>, <a href="https://publications.waset.org/abstracts/search?q=road%20crashes" title=" road crashes"> road crashes</a>, <a href="https://publications.waset.org/abstracts/search?q=crash%20types" title=" crash types"> crash types</a> </p> <a href="https://publications.waset.org/abstracts/155908/vision-zero-for-the-caribbean-using-the-systemic-approach-for-road-safety-a-case-study-analyzing-jamaican-road-crash-data-ongoing" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/155908.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">91</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">42170</span> Understanding the Safety Impacts of Imbalances in Truck Parking Supply and Demand</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Rahil%20Saeedi">Rahil Saeedi</a> </p> <p class="card-text"><strong>Abstract:</strong></p> The imbalance in truck parking supply and demand can create important safety issues for truck drivers and the public. Research has shown that breaks at specific intervals can increase drivers’ alertness by reducing the monotony of the task. However, if fatigued truck drivers are unable to find a safe parking spot for rest, they may continue to drive or choose to park at remote and insecure areas or undesignated locations. All of these situations pose serious safety and security risks to truck drivers and other roadway users. This study uses 5-year truck crash data in Ohio to develop and test a framework for identifying crashes that happen as a result of imbalances in truck parking supply and demand. The societal impacts of these crashes are then interpreted as monetary values, calculated using the costs associated with various crash severity levels. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=truck%20parking" title="truck parking">truck parking</a>, <a href="https://publications.waset.org/abstracts/search?q=road%20safety" title=" road safety"> road safety</a>, <a href="https://publications.waset.org/abstracts/search?q=crash%20data" title=" crash data"> crash data</a>, <a href="https://publications.waset.org/abstracts/search?q=geofencing" title=" geofencing"> geofencing</a>, <a href="https://publications.waset.org/abstracts/search?q=driver%20fatigue" title=" driver fatigue"> driver fatigue</a>, <a href="https://publications.waset.org/abstracts/search?q=undesignated%20parking" title=" undesignated parking"> undesignated parking</a> </p> <a href="https://publications.waset.org/abstracts/143110/understanding-the-safety-impacts-of-imbalances-in-truck-parking-supply-and-demand" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/143110.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">167</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">42169</span> Experimental and Numerical Modeling of Dynamic Axial Crushing of a Composite Glass/PEHD</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Mahmoudi%20Noureddine">Mahmoudi Noureddine</a>, <a href="https://publications.waset.org/abstracts/search?q=Kaou%20Abdellah"> Kaou Abdellah</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Energy absorption is a major requirement for automotive structures. Although crashworthy structures of composite based glass fiber have exhibited energy absorption greater than similar at other composites structures, the crush process in many cases is accompanied by fracture, rather than by plastic deformation. The crash experiments show that the tubes are crushed in progressive manner start from one end of the tubes and delamination takes place between the layers. To better understand details of the crash process, ABAQUS finite element code is used. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=Energy%20absorption" title="Energy absorption">Energy absorption</a>, <a href="https://publications.waset.org/abstracts/search?q=crash" title=" crash"> crash</a>, <a href="https://publications.waset.org/abstracts/search?q=PEHD" title=" PEHD "> PEHD </a> </p> <a href="https://publications.waset.org/abstracts/23329/experimental-and-numerical-modeling-of-dynamic-axial-crushing-of-a-composite-glasspehd" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/23329.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">499</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">42168</span> Reducing Crash Risk at Intersections with Safety Improvements</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Upal%20Barua">Upal Barua</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Crash risk at intersections is a critical safety issue. This paper examines the effectiveness of removing an existing off-set at an intersection by realignment, in reducing crashes. Empirical Bayes method was applied to conduct a before-and-after study to assess the effect of this safety improvement. The Transportation Safety Improvement Program in Austin Transportation Department completed several safety improvement projects at high crash intersections with a view to reducing crashes. One of the common safety improvement techniques applied was the realignment of intersection approaches removing an existing off-set. This paper illustrates how this safety improvement technique is applied at a high crash intersection from inception to completion. This paper also highlights the significant crash reductions achieved from this safety improvement technique applying Empirical Bayes method in a before-and-after study. The result showed that realignment of intersection approaches removing an existing off-set can reduce crashes by 53%. This paper also features the state of the art techniques applied in planning, engineering, designing and construction of this safety improvement, key factors driving the success, and lessons learned in the process. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=crash%20risk" title="crash risk">crash risk</a>, <a href="https://publications.waset.org/abstracts/search?q=intersection" title=" intersection"> intersection</a>, <a href="https://publications.waset.org/abstracts/search?q=off-set" title=" off-set"> off-set</a>, <a href="https://publications.waset.org/abstracts/search?q=safety%20improvement%20technique" title=" safety improvement technique"> safety improvement technique</a>, <a href="https://publications.waset.org/abstracts/search?q=before-and-after%20study" title=" before-and-after study"> before-and-after study</a>, <a href="https://publications.waset.org/abstracts/search?q=empirical%20Bayes%20method" title=" empirical Bayes method"> empirical Bayes method</a> </p> <a href="https://publications.waset.org/abstracts/94343/reducing-crash-risk-at-intersections-with-safety-improvements" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/94343.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">245</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">42167</span> Influence of Travel Time Reliability on Elderly Drivers Crash Severity</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Ren%20Moses">Ren Moses</a>, <a href="https://publications.waset.org/abstracts/search?q=Emmanuel%20Kidando"> Emmanuel Kidando</a>, <a href="https://publications.waset.org/abstracts/search?q=Eren%20Ozguven"> Eren Ozguven</a>, <a href="https://publications.waset.org/abstracts/search?q=Yassir%20Abdelrazig"> Yassir Abdelrazig</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Although older drivers (defined as those of age 65 and above) are less involved with speeding, alcohol use as well as night driving, they are more vulnerable to severe crashes. The major contributing factors for severe crashes include frailty and medical complications. Several studies have evaluated the contributing factors on severity of crashes. However, few studies have established the impact of travel time reliability (TTR) on road safety. In particular, the impact of TTR on senior adults who face several challenges including hearing difficulties, decreasing of the processing skills and cognitive problems in driving is not well established. Therefore, this study focuses on determining possible impacts of TTR on the traffic safety with focus on elderly drivers. Historical travel speed data from freeway links in the study area were used to calculate travel time and the associated TTR metrics that is, planning time index, the buffer index, the standard deviation of the travel time and the probability of congestion. Four-year information on crashes occurring on these freeway links was acquired. The binary logit model estimated using the Markov Chain Monte Carlo (MCMC) sampling technique was used to evaluate variables that could be influencing elderly crash severity. Preliminary results of the analysis suggest that TTR is statistically significant in affecting the severity of a crash involving an elderly driver. The result suggests that one unit increase in the probability of congestion reduces the likelihood of the elderly severe crash by nearly 22%. These findings will enhance the understanding of TTR and its impact on the elderly crash severity. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=highway%20safety" title="highway safety">highway safety</a>, <a href="https://publications.waset.org/abstracts/search?q=travel%20time%20reliability" title=" travel time reliability"> travel time reliability</a>, <a href="https://publications.waset.org/abstracts/search?q=elderly%20drivers" title=" elderly drivers"> elderly drivers</a>, <a href="https://publications.waset.org/abstracts/search?q=traffic%20modeling" title=" traffic modeling"> traffic modeling</a> </p> <a href="https://publications.waset.org/abstracts/57953/influence-of-travel-time-reliability-on-elderly-drivers-crash-severity" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/57953.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">493</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">42166</span> Analysis and Identification of Trends in Electric Vehicle Crash Data</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Cody%20Stolle">Cody Stolle</a>, <a href="https://publications.waset.org/abstracts/search?q=Mojdeh%20Asadollahipajouh"> Mojdeh Asadollahipajouh</a>, <a href="https://publications.waset.org/abstracts/search?q=Khaleb%20Pafford"> Khaleb Pafford</a>, <a href="https://publications.waset.org/abstracts/search?q=Jada%20Iwuoha"> Jada Iwuoha</a>, <a href="https://publications.waset.org/abstracts/search?q=Samantha%20White"> Samantha White</a>, <a href="https://publications.waset.org/abstracts/search?q=Becky%20Mueller"> Becky Mueller</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Battery-electric vehicles (BEVs) are growing in sales and popularity in the United States as an alternative to traditional internal combustion engine vehicles (ICEVs). BEVs are generally heavier than corresponding models of ICEVs, with large battery packs located beneath the vehicle floorpan, a “skateboard” chassis, and have front and rear crush space available in the trunk and “frunk” or front trunk. The geometrical and frame differences between the vehicles may lead to incompatibilities with gasoline vehicles during vehicle-to-vehicle crashes as well as run-off-road crashes with roadside barriers, which were designed to handle lighter ICEVs with higher centers-of-mass and with dedicated structural chasses. Crash data were collected from 10 states spanning a five-year period between 2017 and 2021. Vehicle Identification Number (VIN) codes were processed with the National Highway Traffic Safety Administration (NHTSA) VIN decoder to extract BEV models from ICEV models. Crashes were filtered to isolate only vehicles produced between 2010 and 2021, and the crash circumstances (weather, time of day, maximum injury) were compared between BEVs and ICEVs. In Washington, 436,613 crashes were identified, which satisfied the selection criteria, and 3,371 of these crashes (0.77%) involved a BEV. The number of crashes which noted a fire were comparable between BEVs and ICEVs of similar model years (0.3% and 0.33%, respectively), and no differences were discernable for the time of day, weather conditions, road geometry, or other prevailing factors (e.g., run-off-road). However, crashes involving BEVs rose rapidly; 31% of all BEV crashes occurred in just 2021. Results indicate that BEVs are performing comparably to ICEVs, and events surrounding BEV crashes are statistically indistinguishable from ICEV crashes. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=battery-electric%20vehicles" title="battery-electric vehicles">battery-electric vehicles</a>, <a href="https://publications.waset.org/abstracts/search?q=transportation%20safety" title=" transportation safety"> transportation safety</a>, <a href="https://publications.waset.org/abstracts/search?q=infrastructure%20crashworthiness" title=" infrastructure crashworthiness"> infrastructure crashworthiness</a>, <a href="https://publications.waset.org/abstracts/search?q=run-off-road%20crashes" title=" run-off-road crashes"> run-off-road crashes</a>, <a href="https://publications.waset.org/abstracts/search?q=ev%20crash%20data%20analysis" title=" ev crash data analysis"> ev crash data analysis</a> </p> <a href="https://publications.waset.org/abstracts/167829/analysis-and-identification-of-trends-in-electric-vehicle-crash-data" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/167829.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">89</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">42165</span> The Two-Lane Rural Analysis and Comparison of Police Statistics and Results with the Help IHSDM</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=S.%20Amanpour">S. Amanpour</a>, <a href="https://publications.waset.org/abstracts/search?q=F.%20Mohamadian"> F. Mohamadian</a>, <a href="https://publications.waset.org/abstracts/search?q=S.%20A.%20Tabatabai"> S. A. Tabatabai</a> </p> <p class="card-text"><strong>Abstract:</strong></p> With the number of accidents and fatalities in recent years can be concluded that Iran is the status of road accidents, remains in a crisis. Investigate the causes of such incidents in all countries is a necessity. By doing this research, the results of the number and type of accidents and the location of the crash will be available. It is possible to prioritize economic and rational solutions to fix the flaws in the way of short-term the results are all the more strict rules about the desire to have black spots and cursory glance at the change of but results in long-term are desired to change the system or increase the width of the path or add extra track. In general, the relationship between the analysis of the accidents and near police statistics is the number of accidents in one year. This could prove the accuracy of the analysis done. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=traffic" title="traffic">traffic</a>, <a href="https://publications.waset.org/abstracts/search?q=IHSDM" title=" IHSDM"> IHSDM</a>, <a href="https://publications.waset.org/abstracts/search?q=crash" title=" crash"> crash</a>, <a href="https://publications.waset.org/abstracts/search?q=modeling" title=" modeling"> modeling</a>, <a href="https://publications.waset.org/abstracts/search?q=Khuzestan" title=" Khuzestan"> Khuzestan</a> </p> <a href="https://publications.waset.org/abstracts/38594/the-two-lane-rural-analysis-and-comparison-of-police-statistics-and-results-with-the-help-ihsdm" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/38594.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">285</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">42164</span> Assessment of the Road Safety Performance in National Scale</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Abeer%20K.%20Jameel">Abeer K. Jameel</a>, <a href="https://publications.waset.org/abstracts/search?q=Harry%20Evdorides"> Harry Evdorides</a> </p> <p class="card-text"><strong>Abstract:</strong></p> The Assessment of the road safety performance is a challengeable issue. This is not only because of the ineffective and unreliability of road and traffic crash data system but also because of its systematic character. Recent strategic plans and interventions implemented in some of the developed countries where a significant decline in the rate of traffic and road crashes considers that the road safety is a system. This system consists of four main elements which are: road user, road infrastructure, vehicles and speed in addition to other supporting elements such as the institutional framework and post-crash care system. To assess the performance of a system, it is required to assess all its elements. To present an understandable results of the assessment, it is required to present a unique term representing the performance of the overall system. This paper aims to develop an overall performance indicator which may be used to assess the road safety system. The variables of this indicators are the main elements of the road safety system. The data regarding these variables will be collected from the World Health Organization report. Multi-criteria analysis method is used to aggregate the four sub-indicators for the four variables. Two weighting methods will be assumed, equal weights and different weights. For the different weights method, the factor analysis method is used. The weights then will be converting to scores. The total score will be the overall indicator for the road safety performance in a national scale. This indicator will be used to compare and rank countries according to their road safety performance indicator. The country with the higher score is the country which provides most sustainable and effective interventions for successful road safety system. These indicator will be tested by comparing them with the aggregate real crash rate for each country. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=factor%20analysis" title="factor analysis">factor analysis</a>, <a href="https://publications.waset.org/abstracts/search?q=Multi-criteria%20analysis" title=" Multi-criteria analysis"> Multi-criteria analysis</a>, <a href="https://publications.waset.org/abstracts/search?q=road%20safety%20assessment" title=" road safety assessment"> road safety assessment</a>, <a href="https://publications.waset.org/abstracts/search?q=safe%20system%20indicator" title=" safe system indicator"> safe system indicator</a> </p> <a href="https://publications.waset.org/abstracts/86763/assessment-of-the-road-safety-performance-in-national-scale" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/86763.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">271</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">42163</span> Data Challenges Facing Implementation of Road Safety Management Systems in Egypt</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=A.%20Anis">A. Anis</a>, <a href="https://publications.waset.org/abstracts/search?q=W.%20Bekheet"> W. Bekheet</a>, <a href="https://publications.waset.org/abstracts/search?q=A.%20El%20Hakim"> A. El Hakim</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Implementing a Road Safety Management System (SMS) in a crowded developing country such as Egypt is a necessity. Beginning a sustainable SMS requires a comprehensive reliable data system for all information pertinent to road crashes. In this paper, a survey for the available data in Egypt and validating it for using in an SMS in Egypt. The research provides some missing data, and refer to the unavailable data in Egypt, looking forward to the contribution of the scientific society, the authorities, and the public in solving the problem of missing or unreliable crash data. The required data for implementing an SMS in Egypt are divided into three categories; the first is available data such as fatality and injury rates and it is proven in this research that it may be inconsistent and unreliable, the second category of data is not available, but it may be estimated, an example of estimating vehicle cost is available in this research, the third is not available and can be measured case by case such as the functional and geometric properties of a facility. Some inquiries are provided in this research for the scientific society, such as how to improve the links among stakeholders of road safety in order to obtain a consistent, non-biased, and reliable data system. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=road%20safety%20management%20system" title="road safety management system">road safety management system</a>, <a href="https://publications.waset.org/abstracts/search?q=road%20crash" title=" road crash"> road crash</a>, <a href="https://publications.waset.org/abstracts/search?q=road%20fatality" title=" road fatality"> road fatality</a>, <a href="https://publications.waset.org/abstracts/search?q=road%20injury" title=" road injury"> road injury</a> </p> <a href="https://publications.waset.org/abstracts/125471/data-challenges-facing-implementation-of-road-safety-management-systems-in-egypt" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/125471.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">148</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">42162</span> Concussion Prediction for Speed Skater Impacting on Crash Mats by Computer Simulation Modeling</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Yilin%20Liao">Yilin Liao</a>, <a href="https://publications.waset.org/abstracts/search?q=Hewen%20Li"> Hewen Li</a>, <a href="https://publications.waset.org/abstracts/search?q=Paula%20McConvey"> Paula McConvey</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Concussion for speed skaters often occurs when skaters fall on the ice and impact the crash mats during practices and competition races. Gaining insight into the impact of interactions is of essential interest as it is directly related to skaters’ potential health risks and injuries. Precise concussion measurements are challenging and very difficult, making computer simulation the only reliable way to analyze accidents. This research aims to create the crash mat and skater’s multi-body model using Solidworks, develop a computer simulation model for skater-mat impact using ANSYS software, and predict the skater’s concussion degree by evaluating the “head injury criteria” (HIC) through the resulting accelerations. The developed method and results help understand the relationship between impact parameters and concussion risk for speed skaters and inform the design of crash mats and skating rink layouts more specifically by considering athletes’ health risks. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=computer%20simulation%20modeling" title="computer simulation modeling">computer simulation modeling</a>, <a href="https://publications.waset.org/abstracts/search?q=concussion" title=" concussion"> concussion</a>, <a href="https://publications.waset.org/abstracts/search?q=impact" title=" impact"> impact</a>, <a href="https://publications.waset.org/abstracts/search?q=speed%20skater" title=" speed skater"> speed skater</a> </p> <a href="https://publications.waset.org/abstracts/169553/concussion-prediction-for-speed-skater-impacting-on-crash-mats-by-computer-simulation-modeling" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/169553.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">141</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">42161</span> In-Depth Analysis of Involved Factors to Car-Motorcycle Accidents in Budapest City</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Danish%20Farooq">Danish Farooq</a>, <a href="https://publications.waset.org/abstracts/search?q=Janos%20Juhasz"> Janos Juhasz</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Car-motorcycle accidents have been observed higher in recent years, which caused mainly riders’ fatalities and serious injuries. In-depth crash investigation methods aim to investigate the main factors which are likely involved in fatal road accidents and injury outcomes. The main objective of this study is to investigate the involved factors in car-motorcycle accidents in Budapest city. The procedure included statistical analysis and data sampling to identify car-motorcycle accidents by dominant accident types based on collision configurations. The police report was used as a data source for specified accidents, and simulation models were plotted according to scale (M 1:200). Car-motorcycle accidents were simulated in Virtual Crash software for 5 seconds before the collision. The simulation results showed that the main involved factors to car-motorcycle accidents were human behavior and view obstructions. The comprehensive, in-depth analysis also found that most of the car drivers and riders were unable to perform collision avoidance manoeuvres before the collision. This study can help the traffic safety authorities to focus on simulated involved factors to solve road safety issues in car-motorcycle accidents. The study also proposes safety measures to improve safe movements among road users. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=car%20motorcycle%20accidents" title="car motorcycle accidents">car motorcycle accidents</a>, <a href="https://publications.waset.org/abstracts/search?q=in-depth%20analysis" title=" in-depth analysis"> in-depth analysis</a>, <a href="https://publications.waset.org/abstracts/search?q=microscopic%20simulation" title=" microscopic simulation"> microscopic simulation</a>, <a href="https://publications.waset.org/abstracts/search?q=safety%20measures" title=" safety measures"> safety measures</a> </p> <a href="https://publications.waset.org/abstracts/109658/in-depth-analysis-of-involved-factors-to-car-motorcycle-accidents-in-budapest-city" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/109658.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">151</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">42160</span> Crash and Injury Characteristics of Riders in Motorcycle-Passenger Vehicle Crashes </h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Z.%20A.%20Ahmad%20Noor%20Syukri">Z. A. Ahmad Noor Syukri</a>, <a href="https://publications.waset.org/abstracts/search?q=A.%20J.%20Nawal%20Aswan"> A. J. Nawal Aswan</a>, <a href="https://publications.waset.org/abstracts/search?q=S.%20V.%20Wong"> S. V. Wong</a> </p> <p class="card-text"><strong>Abstract:</strong></p> The motorcycle has become one of the most common type of vehicles used on the road, particularly in the Asia region, including Malaysia, due to its size-convenience and affordable price. This study focuses only on crashes involving motorcycles with passenger cars consisting 43 real world crashes obtained from in-depth crash investigation process from June 2016 till July 2017. The study collected and analyzed vehicle and site parameters obtained during crash investigation and injury information acquired from the patient-treating hospital. The investigation team, consisting of two personnel, is stationed at the Emergency Department of the treatment facility, and was dispatched to the crash scene once receiving notification of the related crashes. The injury information retrieved was coded according to the level of severity using the Abbreviated Injury Scale (AIS) and classified into different body regions. The data revealed that weekend crashes were significantly higher for the night time period and the crash occurrence was the highest during morning hours (commuting to work period) for weekdays. Bad weather conditions play a minimal effect towards the occurrence of motorcycle – passenger vehicle crashes and nearly 90% involved motorcycles with single riders. Riders up to 25 years old are heavily involved in crashes with passenger vehicles (60%), followed by 26-55 year age group with 35%. Male riders were dominant in each of the age segments. The majority of the crashes involved side impacts, followed by rear impacts and cars outnumbered the rest of the passenger vehicle types in terms of crash involvement with motorcycles. The investigation data also revealed that passenger vehicles were the most at-fault counterpart (62%) when involved in crashes with motorcycles and most of the crashes involved situations whereby both of the vehicles are travelling in the same direction and one of the vehicles is in a turning maneuver. More than 80% of the involved motorcycle riders had sustained yellow severity level during triage process. The study also found that nearly 30% of the riders sustained injuries to the lower extremities, while MAIS level 3 injuries were recorded for all body regions except for thorax region. The result showed that crashes in which the motorcycles were found to be at fault were more likely to occur during night and raining conditions. These types of crashes were also found to be more likely to involve other types of passenger vehicles rather than cars and possess higher likelihood in resulting higher ISS (<u>></u>6) value to the involved rider. To reduce motorcycle fatalities, it first has to understand the characteristics concerned and focus may be given on crashes involving passenger vehicles as the most dominant crash partner on Malaysian roads. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=motorcycle%20crash" title="motorcycle crash">motorcycle crash</a>, <a href="https://publications.waset.org/abstracts/search?q=passenger%20vehicle" title=" passenger vehicle"> passenger vehicle</a>, <a href="https://publications.waset.org/abstracts/search?q=in-depth%20crash%20investigation" title=" in-depth crash investigation"> in-depth crash investigation</a>, <a href="https://publications.waset.org/abstracts/search?q=injury%20mechanism" title=" injury mechanism"> injury mechanism</a> </p> <a href="https://publications.waset.org/abstracts/75179/crash-and-injury-characteristics-of-riders-in-motorcycle-passenger-vehicle-crashes" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/75179.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">322</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">42159</span> An Approach to Apply Kernel Density Estimation Tool for Crash Prone Location Identification</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Kazi%20Md.%20Shifun%20Newaz">Kazi Md. Shifun Newaz</a>, <a href="https://publications.waset.org/abstracts/search?q=S.%20Miaji"> S. Miaji</a>, <a href="https://publications.waset.org/abstracts/search?q=Shahnewaz%20Hazanat-E-Rabbi"> Shahnewaz Hazanat-E-Rabbi</a> </p> <p class="card-text"><strong>Abstract:</strong></p> In this study, the kernel density estimation tool has been used to identify most crash prone locations in a national highway of Bangladesh. Like other developing countries, in Bangladesh road traffic crashes (RTC) have now become a great social alarm and the situation is deteriorating day by day. Today’s black spot identification process is not based on modern technical tools and most of the cases provide wrong output. In this situation, characteristic analysis and black spot identification by spatial analysis would be an effective and low cost approach in ensuring road safety. The methodology of this study incorporates a framework on the basis of spatial-temporal study to identify most RTC occurrence locations. In this study, a very important and economic corridor like Dhaka to Sylhet highway has been chosen to apply the method. This research proposes that KDE method for identification of Hazardous Road Location (HRL) could be used for all other National highways in Bangladesh and also for other developing countries. Some recommendations have been suggested for policy maker to reduce RTC in Dhaka-Sylhet especially in black spots. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=hazardous%20road%20location%20%28HRL%29" title="hazardous road location (HRL)">hazardous road location (HRL)</a>, <a href="https://publications.waset.org/abstracts/search?q=crash" title=" crash"> crash</a>, <a href="https://publications.waset.org/abstracts/search?q=GIS" title=" GIS"> GIS</a>, <a href="https://publications.waset.org/abstracts/search?q=kernel%20density" title=" kernel density"> kernel density</a> </p> <a href="https://publications.waset.org/abstracts/43744/an-approach-to-apply-kernel-density-estimation-tool-for-crash-prone-location-identification" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/43744.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">314</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">42158</span> Effectiveness of Variable Speed Limit Signs in Reducing Crash Rates on Roadway Construction Work Zones in Alaska</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Osama%20Abaza">Osama Abaza</a>, <a href="https://publications.waset.org/abstracts/search?q=Tanay%20Datta%20Chowdhury"> Tanay Datta Chowdhury</a> </p> <p class="card-text"><strong>Abstract:</strong></p> As a driver's speed increases, so do the probability of an incident and likelihood of injury. The presence of equipment, personnel, and a changing landscape in construction zones create greater potential for incident. This is especially concerning in Alaska, where summer construction activity, coinciding with the peak annual traffic volumes, cannot be avoided. In order to reduce vehicular speeding in work zones, and therefore the probability of crash and incident occurrence, variable speed limit (VSL) systems can be implemented in the form of radar speed display trailers since the radar speed display trailers were shown to be effective at reducing vehicular speed in construction zones. Allocation of VSL not only help reduce the 85th percentile speed but also it will predominantly reduce mean speed as well. Total of 2147 incidents along with 385 crashes occurred only in one month around the construction zone in the Alaska which seriously requires proper attention. This research provided a thorough crash analysis to better understand the cause and provide proper countermeasures. Crashes were predominantly recoded as vehicle- object collision and sideswipe type and thus significant amount of crashes fall in the group of no injury to minor injury type in the severity class. But still, 35 major crashes with 7 fatal ones in a one month period require immediate action like the implementation of the VSL system as it proved to be a speed reducer in the construction zone on Alaskan roadways. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=speed" title="speed">speed</a>, <a href="https://publications.waset.org/abstracts/search?q=construction%20zone" title=" construction zone"> construction zone</a>, <a href="https://publications.waset.org/abstracts/search?q=crash" title=" crash"> crash</a>, <a href="https://publications.waset.org/abstracts/search?q=severity" title=" severity"> severity</a> </p> <a href="https://publications.waset.org/abstracts/78396/effectiveness-of-variable-speed-limit-signs-in-reducing-crash-rates-on-roadway-construction-work-zones-in-alaska" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/78396.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">251</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">42157</span> Numerical Simulation of Truck Collision with Road Blocker </h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Engin%20Metin%20Kaplan">Engin Metin Kaplan</a>, <a href="https://publications.waset.org/abstracts/search?q=Kemal%20Yaman"> Kemal Yaman</a> </p> <p class="card-text"><strong>Abstract:</strong></p> In this study, the crash of a medium heavy vehicle onto a designed Road blocker (vehicle barrier) is studied numerically. Structural integrity of the Road blocker is studied by nonlinear dynamic methods under the loading conditions which are defined in the standards. NASTRAN® and LS-DYNA® which are commercial software are used to solve the problem. Outer geometry determination, alignment of the inner part and material properties of the road blocker are studied linearly to yield design parameters. Best design parameters are determined to achieve the most structurally optimized road blocker. Strain and stress values of the vehicle barrier are obtained by solving the partial differential equations. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=vehicle%20barrier" title="vehicle barrier">vehicle barrier</a>, <a href="https://publications.waset.org/abstracts/search?q=truck%20collision" title=" truck collision"> truck collision</a>, <a href="https://publications.waset.org/abstracts/search?q=road%20blocker" title=" road blocker"> road blocker</a>, <a href="https://publications.waset.org/abstracts/search?q=crash%20analysis" title=" crash analysis"> crash analysis</a> </p> <a href="https://publications.waset.org/abstracts/35365/numerical-simulation-of-truck-collision-with-road-blocker" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/35365.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">476</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">42156</span> The Effectiveness of Synthesizing A-Pillar Structures in Passenger Cars</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Chris%20Phan">Chris Phan</a>, <a href="https://publications.waset.org/abstracts/search?q=Yong%20Seok%20Park"> Yong Seok Park</a> </p> <p class="card-text"><strong>Abstract:</strong></p> The Toyota Camry is one of the best-selling cars in America. It is economical, reliable, and most importantly, safe. These attributes allowed the Camry to be the trustworthy choice when choosing dependable vehicle. However, a new finding brought question to the Camry’s safety. Since 1997, the Camry received a “good” rating on its moderate overlap front crash test through the Insurance Institute of Highway Safety. In 2012, the Insurance Institute of Highway Safety introduced a frontal small overlap crash test into the overall evaluation of vehicle occupant safety test. The 2012 Camry received a “poor” rating on this new test, while the 2015 Camry redeemed itself with a “good” rating once again. This study aims to find a possible solution that Toyota implemented to reduce the severity of a frontal small overlap crash in the Camry during a mid-cycle update. The purpose of this study is to analyze and evaluate the performance of various A-pillar shapes as energy absorbing structures in improving passenger safety in a frontal crash. First, A-pillar structures of the 2012 and 2015 Camry were modeled using CAD software, namely SolidWorks. Then, a crash test simulation using ANSYS software, was applied to the A-pillars to analyze the behavior of the structures in similar conditions. Finally, the results were compared to safety values of cabin intrusion to determine the crashworthy behaviors of both A-pillar structures by measuring total deformation. This study highlights that it is possible that Toyota improved the shape of the A-pillar in the 2015 Camry in order to receive a “good” rating from the IIHS safety evaluation once again. These findings can possibly be used to increase safety performance in future vehicles to decrease passenger injury or fatality. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=A-pillar" title="A-pillar">A-pillar</a>, <a href="https://publications.waset.org/abstracts/search?q=Crashworthiness" title=" Crashworthiness"> Crashworthiness</a>, <a href="https://publications.waset.org/abstracts/search?q=Design%20Synthesis" title=" Design Synthesis"> Design Synthesis</a>, <a href="https://publications.waset.org/abstracts/search?q=Finite%20Element%20Analysis" title=" Finite Element Analysis"> Finite Element Analysis</a> </p> <a href="https://publications.waset.org/abstracts/123647/the-effectiveness-of-synthesizing-a-pillar-structures-in-passenger-cars" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/123647.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info 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