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traffic</title> <meta name="description" content="Search results for: road traffic"> <meta name="keywords" content="road traffic"> <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 d-lg-none navbar-toggler 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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="road traffic"> <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> 2053</div> </div> </div> </div> <h1 class="mt-3 mb-3 text-center" style="font-size:1.6rem;">Search results for: road traffic</h1> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">2053</span> Perception of Risk toward Traffic Violence among Road Users in Makassar, Indonesia</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Sulasmi%20Sudirman">Sulasmi Sudirman</a>, <a href="https://publications.waset.org/abstracts/search?q=Rachmadanty%20Mujah%20Hartika"> Rachmadanty Mujah Hartika</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Traffic violence is currently a big issue in Indonesia. However, the road users perceived risk that is caused by traffic violence is low. The lack of safety driving awareness is one of the factors that road users committed to traffic violence. There are several lists of common traffic violence in Indonesia such as lack of physical fitness, not wearing helmet, unfasten seatbelt, breaking through the traffic light, not holding a driving license, and some more violence. This research sought to explore the perception of road users toward traffic violence. The participants were road users in Makassar, Indonesia who were using cars and motorbikes. The method of the research was a qualitative approach by using a personal interview to collect data. The research showed that there three main ideas of perceiving traffic violence which are motives, environment that supported traffic violence, and reinforcement. The road users committed traffic violence had particular motive, for example, rushing. The road users committed to traffic violence when other road users and significant other did the same. The road users committed traffic violence when the police were not there to give a ticket. It can be concluded that the perception of road users toward traffic violence determined by internal aspect, the social aspect, and regulation. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=perception" title="perception">perception</a>, <a href="https://publications.waset.org/abstracts/search?q=road%20users" title=" road users"> road users</a>, <a href="https://publications.waset.org/abstracts/search?q=traffic" title=" traffic"> traffic</a>, <a href="https://publications.waset.org/abstracts/search?q=violence" title=" violence"> violence</a> </p> <a href="https://publications.waset.org/abstracts/105587/perception-of-risk-toward-traffic-violence-among-road-users-in-makassar-indonesia" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/105587.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">2052</span> Research on Evaluation Method of Urban Road Section Traffic Safety Status Based on Video Information</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Qiang%20Zhang">Qiang Zhang</a>, <a href="https://publications.waset.org/abstracts/search?q=Xiaojian%20Hu"> Xiaojian Hu</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Aiming at the problem of the existing real-time evaluation methods for traffic safety status, a video information-based urban road section traffic safety status evaluation method was established, and the rapid detection method of traffic flow parameters based on video information is analyzed. The concept of the speed dispersion of the road section that affects the traffic safety state of the urban road section is proposed, and the method of evaluating the traffic safety state of the urban road section based on the speed dispersion of the road section is established. Experiments show that the proposed method can reasonably evaluate the safety status of urban roads in real-time, and the evaluation results can provide a corresponding basis for the traffic management department to formulate an effective urban road section traffic safety improvement plan. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=intelligent%20transportation%20system" title="intelligent transportation system">intelligent transportation system</a>, <a href="https://publications.waset.org/abstracts/search?q=road%20traffic%20safety" title=" road traffic safety"> road traffic safety</a>, <a href="https://publications.waset.org/abstracts/search?q=video%20information" title=" video information"> video information</a>, <a href="https://publications.waset.org/abstracts/search?q=vehicle%20speed%20dispersion" title=" vehicle speed dispersion"> vehicle speed dispersion</a> </p> <a href="https://publications.waset.org/abstracts/138781/research-on-evaluation-method-of-urban-road-section-traffic-safety-status-based-on-video-information" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/138781.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">164</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">2051</span> Development of K-Factor for Road Geometric Design: A Case Study of North Coast Road in Java </h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Edwin%20Hidayat">Edwin Hidayat</a>, <a href="https://publications.waset.org/abstracts/search?q=Redi%20Yulianto"> Redi Yulianto</a>, <a href="https://publications.waset.org/abstracts/search?q=Disi%20Hanafiah"> Disi Hanafiah</a> </p> <p class="card-text"><strong>Abstract:</strong></p> On the one hand, parameters which are used for determining the number of lane on the new road construction are average annual average daily traffic (AADT) and peak hour factor (K-factor). On the other hand, the value of K-factor listed in the guidelines and manual for road planning in Indonesia is a value of adoption or adaptation from foreign guidelines or manuals. Thus, the value is less suitable for Indonesian condition due to differences in road conditions, vehicle type, and driving behavior. The purpose of this study is to provide an example on how to determine k-factor values at a road segment with particular conditions in north coast road, West Java. The methodology is started with collecting traffic volume data for 24 hours over 365 days using PLATO (Automated Traffic Counter) with the approach of video image processing. Then, the traffic volume data is divided into per hour and analyzed by comparing the peak traffic volume in the 30th hour (or other) with the AADT in the same year. The analysis has resulted that for the 30th peak hour the K-factor is 0.97. This value can be used for planning road geometry or evaluating the road capacity performance for the 4/2D interurban road. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=road%20geometry" title="road geometry">road geometry</a>, <a href="https://publications.waset.org/abstracts/search?q=K-factor" title=" K-factor"> K-factor</a>, <a href="https://publications.waset.org/abstracts/search?q=annual%20average%20daily%20traffic" title=" annual average daily traffic"> annual average daily traffic</a>, <a href="https://publications.waset.org/abstracts/search?q=north%20coast%20road" title=" north coast road"> north coast road</a> </p> <a href="https://publications.waset.org/abstracts/95926/development-of-k-factor-for-road-geometric-design-a-case-study-of-north-coast-road-in-java" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/95926.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">161</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">2050</span> Effect of a Traffic Psychology Workshop on Enhancing Positive Attitudes towards Road Safety Awareness among Youths</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=C.%20Ah%20Gang%20Getrude">C. Ah Gang Getrude</a>, <a href="https://publications.waset.org/abstracts/search?q=Iqbal%20Hashmi%20Shazia"> Iqbal Hashmi Shazia</a>, <a href="https://publications.waset.org/abstracts/search?q=Mohd%20Nawi%20Nurul%20Hudani"> Mohd Nawi Nurul Hudani</a> </p> <p class="card-text"><strong>Abstract:</strong></p> This study examined the effectiveness of a Traffic Psychology Workshop in enhancing positive attitudes towards road safety awareness among youths. We predicted that youths’ attitudes towards road safety would be more positive after they participated in the one-day workshop. We examined their attitudes towards road safety awareness before and after they attended a one-day workshop. There were 21 participants who completed the pre and post-studies (9 males & 12 females, mean age 22.86, SD=2.03). A Wilcoxon signed-ranks test showed that the mean for post-test ranks for students’ attitudes towards road safety awareness was higher than the mean pre-test ranks, z =-3.16, p = .00. The study showed that the Traffic Psychology Module which focuses on the three elements: i) personality & emotion; Sensation, perception and visual; and mental workload could have positive effects on youths’ attitudes towards road safety awareness. We believe that the Traffic Psychology Module could be used as a guide by relevant authorities, such as the Sabah Road Safety Department, in implementing road safety awareness workshops and programs for the public, particularly road-users. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=attitude" title="attitude">attitude</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=traffic%20psychology" title=" traffic psychology"> traffic psychology</a>, <a href="https://publications.waset.org/abstracts/search?q=youth" title=" youth"> youth</a> </p> <a href="https://publications.waset.org/abstracts/71967/effect-of-a-traffic-psychology-workshop-on-enhancing-positive-attitudes-towards-road-safety-awareness-among-youths" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/71967.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">328</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">2049</span> Form of Distribution of Traffic Accident and Environment Factors of Road Affecting of Traffic Accident in Dusit District, Only Area Responsible of Samsen Police Station</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Musthaya%20Patchanee">Musthaya Patchanee</a> </p> <p class="card-text"><strong>Abstract:</strong></p> This research aimed to study form of traffic distribution and environmental factors of road that affect traffic accidents in Dusit District, only areas responsible of Samsen Police Station. Data used in this analysis is the secondary data of traffic accident case from year 2011. Observed area units are 15 traffic lines that are under responsible of Samsen Police Station. Technique and method used are the Cartographic Method, the Correlation Analysis, and the Multiple Regression Analysis. The results of form of traffic accidents show that, the Samsen Road area had most traffic accidents (24.29%), second was Rachvithi Road (18.10%), third was Sukhothai Road (15.71%), fourth was Rachasrima Road (12.38%), and fifth was Amnuaysongkram Road (7.62%). The result from Dusit District, only areas responsible of Samsen police station, has suggested that the scale of accidents have high positive correlation with statistic significant at level 0.05 and the frequency of travel (r=0.857). Traffic intersection point (r=0.763)and traffic control equipments (r=0.713) are relevant factors respectively. By using the Multiple Regression Analysis, travel frequency is the only one that has considerable influences on traffic accidents in Dusit district only Samsen Police Station area. Also, a factor in frequency of travel can explain the change in traffic accidents scale to 73.40 (R2 = 0.734). By using the Multiple regression summation from analysis was Y ̂=-7.977+0.044X6. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=form%20of%20traffic%20distribution" title="form of traffic distribution">form of traffic distribution</a>, <a href="https://publications.waset.org/abstracts/search?q=environmental%20factors%20of%20road" title=" environmental factors of road"> environmental factors of road</a>, <a href="https://publications.waset.org/abstracts/search?q=traffic%20accidents" title=" traffic accidents"> traffic accidents</a>, <a href="https://publications.waset.org/abstracts/search?q=Dusit%20district" title=" Dusit district"> Dusit district</a> </p> <a href="https://publications.waset.org/abstracts/9487/form-of-distribution-of-traffic-accident-and-environment-factors-of-road-affecting-of-traffic-accident-in-dusit-district-only-area-responsible-of-samsen-police-station" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/9487.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">391</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">2048</span> Traffic Calming Measures at Rural Roads in Dhofar</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> Traffic calming measures are different design features or strategies used to reduce the speed of a traveling vehicle on a particular road. These calming measures are common on rural roads of Oman. Some of these measures are road speed limits, vertical deflections, horizontal deflections, and road signs. In general, vertical deflections such as rumble strips, road studs (cat’s eye), speed tables, and speed humps are widely used. In this paper, as vehicle speeding is a major cause of road traffic crashes and high fatalities in Oman, the effectiveness of existing traffic calming measures at current locations on rural roads is assessed. The study was conducted on the rural roads of Dhofar Governorate, which is located in the south of Oman. A special focus is given to the calming measures implemented on the mountain roads of Dhofar. It is shown that vertical deflection calming measures are effective in reducing vehicle speed to 20 to 40 kph, depending on the vertical deflection type and spacing. Calming measures are also proposed at locations with a high probability of traffic crashes based on the number of traffic crashes at these locations, road type, and road geometry. <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=speed" title=" speed"> speed</a>, <a href="https://publications.waset.org/abstracts/search?q=traffic%20calming%20measures" title=" traffic calming measures"> traffic calming measures</a>, <a href="https://publications.waset.org/abstracts/search?q=traffic%20crash" title=" traffic crash"> traffic crash</a> </p> <a href="https://publications.waset.org/abstracts/153200/traffic-calming-measures-at-rural-roads-in-dhofar" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/153200.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">119</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">2047</span> Evaluation of External Costs of Traffic Accident in Slovak Republic</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Anna%20Dolinayova">Anna Dolinayova</a>, <a href="https://publications.waset.org/abstracts/search?q=Jozef%20Danis"> Jozef Danis</a>, <a href="https://publications.waset.org/abstracts/search?q=Juraj%20Camaj"> Juraj Camaj</a> </p> <p class="card-text"><strong>Abstract:</strong></p> The report deals with comparison of traffic accidents in Slovak republic in road and rail transport since year 2009 until 2014, with evaluation of external costs and consequently with the possibilities of their internalization. The results of road traffic accidents analysis are realized in line with after-effects they have caused; in line with main cause, place of origin (within or out of town) and in accordance to age of people they were killed or hard, eventually easy injured in traffic accidents. Evaluation of individual after-effects is carried in terms of probability of traffic accidents occurrence. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=external%20costs" title="external costs">external costs</a>, <a href="https://publications.waset.org/abstracts/search?q=traffic%20accident" title=" traffic accident"> traffic accident</a>, <a href="https://publications.waset.org/abstracts/search?q=rail%20transport" title=" rail transport"> rail transport</a>, <a href="https://publications.waset.org/abstracts/search?q=road%20transport" title=" road transport"> road transport</a> </p> <a href="https://publications.waset.org/abstracts/40259/evaluation-of-external-costs-of-traffic-accident-in-slovak-republic" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/40259.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">594</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">2046</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">2045</span> Evaluating the Influence of Road Markings Retroreflectivity on Road Safety in Low Visibility Conditions</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Darko%20Babic">Darko Babic</a>, <a href="https://publications.waset.org/abstracts/search?q=Maja%20Modric"> Maja Modric</a>, <a href="https://publications.waset.org/abstracts/search?q=Dario%20Babic"> Dario Babic</a>, <a href="https://publications.waset.org/abstracts/search?q=Mario%20Fiolic"> Mario Fiolic</a> </p> <p class="card-text"><strong>Abstract:</strong></p> For road markings as a part of traffic control plan, it is considered to have a positive impact on road safety. Their importance is particularly evident in low visibility conditions when the field of vision and the driver's visual acuity are significantly reduced. The aim of this article is to analyze how road marking retroreflectivity affects the frequency of traffic accidents in low visibility conditions. For this purpose, 10,417.4 km single carriageway roads were analysed across Croatia in the period from 2012 to 2016. The research included accidents that may be significantly affected by marking retroreflectivity: head-on collisions, running off the road, hitting a stationary object on the road and hitting a stationary roadside object. The results have shown that the retroreflectivity level is negatively correlated to the total number of accidents and the number of casualties and injuries, which ultimately means that the risk of traffic accidents and deaths and/or injuries of participants will be lower with the increase of road markings retroreflectivity. These results may assist in defining minimum values of retroreflectivity that the markings must meet at any time as well as the suitable technologies and materials for their implementation. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=retroreflectivity" title="retroreflectivity">retroreflectivity</a>, <a href="https://publications.waset.org/abstracts/search?q=road%20markings" title=" road markings"> road markings</a>, <a href="https://publications.waset.org/abstracts/search?q=traffic%20accidents" title=" traffic accidents"> traffic accidents</a>, <a href="https://publications.waset.org/abstracts/search?q=traffic%20safety" title=" traffic safety"> traffic safety</a> </p> <a href="https://publications.waset.org/abstracts/102266/evaluating-the-influence-of-road-markings-retroreflectivity-on-road-safety-in-low-visibility-conditions" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/102266.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">153</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">2044</span> Analysis of Traffic Crashes 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> Fatalities of Road Traffic Crashes (RTCs) on rural roads are usually higher than that on urban roads. The likelihood of traffic accidents may increase with the presence of factors that are associated with the rural type of community such as long-distance, road type, road geometry (e.g., curves and steepens), poor lighting, terrain, obstacles (e.g., animals crossing, boulders or tree branches), heavy truck traffic, weather conditions, and road flaws. Most of these factors are present on the rural roads of Oman. As many cities in Oman are surrounded by mountains and connected by rural roads, this is of great concern. In this paper, the causes of traffic crashes on rural roads in Oman are analyzed. The fatality rate of traffic deaths on rural roads is compared with the fatality rate on urban roads for different regions in Oman. Statistical data and police reports show that the leading cause of RTCs and deaths on rural roads is vehicle speeding, especially on long-distance roads. It is shown that crashes on rural roads result in higher fatalities than crashes on urban roads. In comparison to speed, the numbers of RTCs and deaths that resulted from other causes are small. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=causes%20of%20traffic%20crashes" title="causes of traffic crashes">causes of traffic crashes</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=road%20traffic%20crash" title=" road traffic crash"> road traffic crash</a>, <a href="https://publications.waset.org/abstracts/search?q=rural%20roads" title=" rural roads"> rural roads</a> </p> <a href="https://publications.waset.org/abstracts/153180/analysis-of-traffic-crashes-on-rural-roads-in-oman" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/153180.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">166</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">2043</span> Road Traffic Noise Mapping for Riyadh City Using GIS and Lima</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Khalid%20A.%20Alsaif">Khalid A. Alsaif</a>, <a href="https://publications.waset.org/abstracts/search?q=Mosaad%20A.%20Foda"> Mosaad A. Foda</a> </p> <p class="card-text"><strong>Abstract:</strong></p> The primary objective of this study is to develop the first round of road traffic noise maps for Riyadh City using Geographical Information Systems (GIS) and software LimA 7810 predictor. The road traffic data were measured or estimated as accurate as possible in order to obtain reliable noise maps. Meanwhile, the attributes of the roads and buildings are automatically exported from GIS. The simulation results at some chosen locations are validated by actual field measurements, which are obtained by a system that consists of a sound level meter, a GPS receiver and a database to manage the measured data. The results show that the average error between the predicted and measured noise levels is below 3.0 dB. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=noise%20pollution" title="noise pollution">noise pollution</a>, <a href="https://publications.waset.org/abstracts/search?q=road%20traffic%20noise" title=" road traffic noise"> road traffic noise</a>, <a href="https://publications.waset.org/abstracts/search?q=LimA%20predictor" title=" LimA predictor"> LimA predictor</a>, <a href="https://publications.waset.org/abstracts/search?q=GIS" title=" GIS"> GIS</a> </p> <a href="https://publications.waset.org/abstracts/24998/road-traffic-noise-mapping-for-riyadh-city-using-gis-and-lima" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/24998.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">406</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">2042</span> The Effects of Key Factors in Traffic-Oriented Road Alignment Adjustment for Low Emissions Profile: A Case Study in Norway</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Gaylord%20K.%20Booto">Gaylord K. Booto</a>, <a href="https://publications.waset.org/abstracts/search?q=Marinelli%20Giuseppe"> Marinelli Giuseppe</a>, <a href="https://publications.waset.org/abstracts/search?q=Helge%20Bratteb%C3%B8"> Helge Brattebø</a>, <a href="https://publications.waset.org/abstracts/search?q=Rolf%20A.%20Bohne"> Rolf A. Bohne</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Emissions reduction has emerged among the principal targets in the process of planning and designing road alignments today. Intelligent road design methods that can result in optimized alignment constitute concrete and innovative responses towards better alternatives and more sustainable road infrastructures. As the largest amount of emissions of road infrastructures occur in the operation stage, it becomes very important to consider traffic weight and distribution in alignment design process. This study analyzes the effects of four traffic factors (i.e. operating speed, vehicle category, technology and fuel type) on adjusting the vertical alignment of a given road, using optimization techniques. Further, factors’ effects are assessed qualitatively and quantitatively, and the emission profiles of resulting alignment alternatives are compared. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=alignment%20adjustment" title="alignment adjustment">alignment adjustment</a>, <a href="https://publications.waset.org/abstracts/search?q=emissions%20reduction" title=" emissions reduction"> emissions reduction</a>, <a href="https://publications.waset.org/abstracts/search?q=optimization" title=" optimization"> optimization</a>, <a href="https://publications.waset.org/abstracts/search?q=traffic-oriented" title=" traffic-oriented"> traffic-oriented</a> </p> <a href="https://publications.waset.org/abstracts/83051/the-effects-of-key-factors-in-traffic-oriented-road-alignment-adjustment-for-low-emissions-profile-a-case-study-in-norway" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/83051.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">370</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">2041</span> Grid Based Traffic Vulnerability Model Using Betweenness Centrality for Urban Disaster Management Information</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Okyu%20Kwon">Okyu Kwon</a>, <a href="https://publications.waset.org/abstracts/search?q=Dongho%20Kang"> Dongho Kang</a>, <a href="https://publications.waset.org/abstracts/search?q=Byungsik%20Kim"> Byungsik Kim</a>, <a href="https://publications.waset.org/abstracts/search?q=Seungkwon%20Jung"> Seungkwon Jung</a> </p> <p class="card-text"><strong>Abstract:</strong></p> We propose a technique to measure the impact of loss of traffic function in a particular area to surrounding areas. The proposed method is applied to the city of Seoul, which is the capital of South Korea, with a population of about ten million. Based on the actual road network in Seoul, we construct an abstract road network between 1kmx1km grid cells. The link weight of the abstract road network is re-adjusted considering traffic volume measured at several survey points. On the modified abstract road network, we evaluate the traffic vulnerability by calculating a network measure of betweenness centrality (BC) for every single grid cells. This study analyzes traffic impacts caused by road dysfunction due to heavy rainfall in urban areas. We could see the change of the BC value in all other grid cells by calculating the BC value once again when the specific grid cell lost its traffic function, that is, when the node disappeared on the grid-based road network. The results show that it is appropriate to use the sum of the BC variation of other cells as the influence index of each lattice cell on traffic. This research was supported by a grant (2017-MOIS31-004) from Fundamental Technology Development Program for Extreme Disaster Response funded by Korean Ministry of Interior and Safety (MOIS). <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=vulnerability" title="vulnerability">vulnerability</a>, <a href="https://publications.waset.org/abstracts/search?q=road%20network" title=" road network"> road network</a>, <a href="https://publications.waset.org/abstracts/search?q=beweenness%20centrality" title=" beweenness centrality"> beweenness centrality</a>, <a href="https://publications.waset.org/abstracts/search?q=heavy%20rainfall" title=" heavy rainfall"> heavy rainfall</a>, <a href="https://publications.waset.org/abstracts/search?q=road%20impact" title=" road impact"> road impact</a> </p> <a href="https://publications.waset.org/abstracts/112207/grid-based-traffic-vulnerability-model-using-betweenness-centrality-for-urban-disaster-management-information" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/112207.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">95</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">2040</span> Road Transition Design on Freeway Tunnel Entrance and Exit Based on Traffic Capacity</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Han%20Bai">Han Bai</a>, <a href="https://publications.waset.org/abstracts/search?q=Tong%20Zhang"> Tong Zhang</a>, <a href="https://publications.waset.org/abstracts/search?q=Lemei%20Yu"> Lemei Yu</a>, <a href="https://publications.waset.org/abstracts/search?q=Doudou%20Xie"> Doudou Xie</a>, <a href="https://publications.waset.org/abstracts/search?q=Liang%20Zhao"> Liang Zhao</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Road transition design on freeway tunnel entrance and exit is one vital factor in realizing smooth transition and improving traveling safety for vehicles. The goal of this research is to develop a horizontal road transition design tool that considers the transition technology of traffic capacity consistency to explore its accommodation mechanism. The influencing factors of capacity are synthesized and a modified capacity calculation model focusing on the influence of road width and lateral clearance is developed based on the VISSIM simulation to calculate the width of road transition sections. To keep the traffic capacity consistency, the right side of the transition section of the tunnel entrance and exit is divided into three parts: front arc, an intermediate transition section, and end arc; an optimization design on each transition part is conducted to improve the capacity stability and horizontal alignment transition. A case study on the Panlong Tunnel in Ji-Qing freeway illustrates the application of the tool. <p class="card-text"><strong>Keywords:</strong> <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=road%20transition" title=" road transition"> road transition</a>, <a href="https://publications.waset.org/abstracts/search?q=freeway%20tunnel" title=" freeway tunnel"> freeway tunnel</a>, <a href="https://publications.waset.org/abstracts/search?q=traffic%20capacity" title=" traffic capacity"> traffic capacity</a> </p> <a href="https://publications.waset.org/abstracts/88916/road-transition-design-on-freeway-tunnel-entrance-and-exit-based-on-traffic-capacity" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/88916.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">326</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">2039</span> An Accidental Forecasting Modelling for Various Median Roads</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Pruethipong%20Xinghatiraj">Pruethipong Xinghatiraj</a>, <a href="https://publications.waset.org/abstracts/search?q=Rajwanlop%20Kumpoopong"> Rajwanlop Kumpoopong</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Considering the current situation of road safety, Thailand has the world’s second-highest road fatality rate. Therefore, decreasing the road accidents in Thailand is a prime policy of the Thai government seeking to accomplish. One of the approaches to reduce the accident rate is to improve road environments to fit with the local behavior of the road users. The Department of Highways ensures that choosing the road median types right to the road characteristics, e.g. roadside characteristics, traffic volume, truck traffic percentage, etc., can decrease the possibility of accident occurrence. Presently, raised median, depressed median, painted median and median barriers are typically used in Thailand Highways. In this study, factors affecting road accident for each median type will be discovered through the analysis of the collecting of accident data, death numbers on sample of 600 Kilometers length across the country together with its roadside characteristics, traffic volume, heavy vehicles percentage, and other key factors. The benefits of this study can assist the Highway designers to select type of road medians that can match local environments and then cause less accident prone. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=highways" title="highways">highways</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=road%20median" title=" road median"> road median</a>, <a href="https://publications.waset.org/abstracts/search?q=forecasting%20model" title=" forecasting model"> forecasting model</a> </p> <a href="https://publications.waset.org/abstracts/62698/an-accidental-forecasting-modelling-for-various-median-roads" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/62698.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">266</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">2038</span> Research on Road Openness in the Old Urban Residential District Based on Space Syntax: A Case Study on Kunming within the First Loop Road </h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Haoyang%20Liang">Haoyang Liang</a>, <a href="https://publications.waset.org/abstracts/search?q=Dandong%20Ge"> Dandong Ge</a> </p> <p class="card-text"><strong>Abstract:</strong></p> With the rapid development of Chinese cities, traffic congestion has become more and more serious. At the same time, there are many closed old residential area in Chinese cities, which seriously affect the connectivity of urban roads and reduce the density of urban road networks. After reopening the restricted old residential area, the internal roads in the original residential area were transformed into urban roads, which was of great help to alleviate traffic congestion. This paper uses the spatial syntactic theory to analyze the urban road network and compares the roads with the integration and connectivity degree to evaluate whether the opening of the roads in the residential areas can improve the urban traffic. Based on the road network system within the first loop road in Kunming, the Space Syntax evaluation model is established for status analysis. And comparative analysis method will be used to compare the change of the model before and after the road openness of the old urban residential district within the first-ring road in Kunming. Then it will pick out the areas which indicate a significant difference for the small dimensions model analysis. According to the analyzed results and traffic situation, the evaluation of road openness in the old urban residential district will be proposed to improve the urban residential districts. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=Space%20Syntax" title="Space Syntax">Space Syntax</a>, <a href="https://publications.waset.org/abstracts/search?q=Kunming" title=" Kunming"> Kunming</a>, <a href="https://publications.waset.org/abstracts/search?q=urban%20renovation" title=" urban renovation"> urban renovation</a>, <a href="https://publications.waset.org/abstracts/search?q=traffic%20jam" title=" traffic jam"> traffic jam</a> </p> <a href="https://publications.waset.org/abstracts/112801/research-on-road-openness-in-the-old-urban-residential-district-based-on-space-syntax-a-case-study-on-kunming-within-the-first-loop-road" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/112801.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">162</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">2037</span> Stabilized Earth Roads Construction and Its Challenges</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Mokhtar%20Nikgoo">Mokhtar Nikgoo</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Road definition and road construction: in engineering literature, a road is defined as a means of communication between two different places by air, land, and sea. In this way, all sea, land, and air routes are considered as roads. Road construction is an operation to create a road on the ground between 2 points with a specified width, which includes works such as subgrade, paving, placing tables, and traffic signs on the road. In this article, the stages of road construction are explained from the beginning to the end. Road construction is generally done in the construction of rural, urban, and inter-city roads, and according to the special conditions of this area, the precision of engineers in its design and calculations is very important. For example, if the design of a road does not pay enough attention to the way the road curves, there will undoubtedly be countless accidents. Also, adjusting the road surface and its durability and uniformity are among the things that engineers solve according to the upcoming obstacles. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=road%20construction" title="road construction">road construction</a>, <a href="https://publications.waset.org/abstracts/search?q=surveying" title=" surveying"> surveying</a>, <a href="https://publications.waset.org/abstracts/search?q=freeway" title=" freeway"> freeway</a>, <a href="https://publications.waset.org/abstracts/search?q=pavement" title=" pavement"> pavement</a>, <a href="https://publications.waset.org/abstracts/search?q=excavator" title=" excavator"> excavator</a> </p> <a href="https://publications.waset.org/abstracts/173669/stabilized-earth-roads-construction-and-its-challenges" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/173669.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">93</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">2036</span> Road Traffic Accidents Analysis in Mexico City through Crowdsourcing Data and Data Mining Techniques</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Gabriela%20V.%20Angeles%20Perez">Gabriela V. Angeles Perez</a>, <a href="https://publications.waset.org/abstracts/search?q=Jose%20Castillejos%20Lopez"> Jose Castillejos Lopez</a>, <a href="https://publications.waset.org/abstracts/search?q=Araceli%20L.%20Reyes%20Cabello"> Araceli L. Reyes Cabello</a>, <a href="https://publications.waset.org/abstracts/search?q=Emilio%20Bravo%20Grajales"> Emilio Bravo Grajales</a>, <a href="https://publications.waset.org/abstracts/search?q=Adriana%20Perez%20Espinosa"> Adriana Perez Espinosa</a>, <a href="https://publications.waset.org/abstracts/search?q=Jose%20L.%20Quiroz%20Fabian"> Jose L. Quiroz Fabian</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Road traffic accidents are among the principal causes of traffic congestion, causing human losses, damages to health and the environment, economic losses and material damages. Studies about traditional road traffic accidents in urban zones represents very high inversion of time and money, additionally, the result are not current. However, nowadays in many countries, the crowdsourced GPS based traffic and navigation apps have emerged as an important source of information to low cost to studies of road traffic accidents and urban congestion caused by them. In this article we identified the zones, roads and specific time in the CDMX in which the largest number of road traffic accidents are concentrated during 2016. We built a database compiling information obtained from the social network known as Waze. The methodology employed was Discovery of knowledge in the database (KDD) for the discovery of patterns in the accidents reports. Furthermore, using data mining techniques with the help of Weka. The selected algorithms was the Maximization of Expectations (EM) to obtain the number ideal of clusters for the data and k-means as a grouping method. Finally, the results were visualized with the Geographic Information System QGIS. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=data%20mining" title="data mining">data mining</a>, <a href="https://publications.waset.org/abstracts/search?q=k-means" title=" k-means"> k-means</a>, <a href="https://publications.waset.org/abstracts/search?q=road%20traffic%20accidents" title=" road traffic accidents"> road traffic accidents</a>, <a href="https://publications.waset.org/abstracts/search?q=Waze" title=" Waze"> Waze</a>, <a href="https://publications.waset.org/abstracts/search?q=Weka" title=" Weka"> Weka</a> </p> <a href="https://publications.waset.org/abstracts/83804/road-traffic-accidents-analysis-in-mexico-city-through-crowdsourcing-data-and-data-mining-techniques" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/83804.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">417</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">2035</span> A Study on the Planning of Urban Road Traffic Signs Based on the Leisure Involvement of Self-Driving Tourists</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Chun-Lin%20Zhang">Chun-Lin Zhang</a>, <a href="https://publications.waset.org/abstracts/search?q=Min%20Wan"> Min Wan</a> </p> <p class="card-text"><strong>Abstract:</strong></p> With the upgrade development of the tourism industry from the simple sightseeing tour to the leisure and vacation, people's travel idea has undergone a fundamental change. More and more people begin to pursue liberal and personal tourism, so self-driving tourism has become the main form of current tourism activities. With the self-driving tourism representing the general trend, the importance of convenient tourism transportation and perfect road traffic signs have become more and more prominent. A clear urban road traffic signs can help visitors quickly identify the direction and distance to the tourism destination. The purpose of this article is analyzing the planning of urban road traffic signs which can bring positive impact on the participation in the recreation involved of self-driving tourists. The content of this article is divided into three parts. Based on the literature review and theoretical analysis, the first part constructs a structural variance model. The model is from three dimensions: the attention of the self-driving tourists to the urban traffic signs along the road, the perception of the self-driving tourists to the road traffic signs itself, the perceptions of the self-driving tourists to the tourism destination information on the traffic signs. Through this model, the paper aims to explore the influence of the urban road traffic signs to the leisure psychological involvement and leisure behavior involvement of the self-driving tourists. The second part aims to verify through the hypothesis model the questionnaire survey and come to preliminary conclusions. The preliminary conclusions are as follows: firstly, the color, shape, size, setting mode and occurrence frequency of urban road traffic sign have significant influence on the leisure psychological involvement and leisure behavior involvement of the self-driving tourists. Secondly, the influence on the leisure behavior involvement is obviously higher than the influence on the leisure psychological involvement. Thirdly, the information about the tourism destination marked on the urban road traffic signs has not obviously influence on the leisure psychological involvement, but it has distinct influence on the leisure behavior involvement of self-driving tourists. The third part puts forward that the planning of urban road traffic signs should focus on the angle of the impact of road traffic signs on people's psychology and behavior. On the basis of the above conclusions, the paper researches the color, shape, size, setting mode and information labeling of urban road traffic signs so that they can preferably satisfy the demand of the leisure involvement of self-driving tourists. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=leisure%20involvement" title="leisure involvement">leisure involvement</a>, <a href="https://publications.waset.org/abstracts/search?q=self-driving%20tourism" title=" self-driving tourism"> self-driving tourism</a>, <a href="https://publications.waset.org/abstracts/search?q=structural%20equation" title=" structural equation"> structural equation</a>, <a href="https://publications.waset.org/abstracts/search?q=urban%20road%20traffic%20signs" title=" urban road traffic signs"> urban road traffic signs</a> </p> <a href="https://publications.waset.org/abstracts/76560/a-study-on-the-planning-of-urban-road-traffic-signs-based-on-the-leisure-involvement-of-self-driving-tourists" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/76560.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">237</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">2034</span> Machine Learning Techniques to Develop Traffic Accident Frequency Prediction Models</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Rodrigo%20Aguiar">Rodrigo Aguiar</a>, <a href="https://publications.waset.org/abstracts/search?q=Adelino%20Ferreira"> Adelino Ferreira</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Road traffic accidents are the leading cause of unnatural death and injuries worldwide, representing a significant problem of road safety. In this context, the use of artificial intelligence with advanced machine learning techniques has gained prominence as a promising approach to predict traffic accidents. This article investigates the application of machine learning algorithms to develop traffic accident frequency prediction models. Models are evaluated based on performance metrics, making it possible to do a comparative analysis with traditional prediction approaches. The results suggest that machine learning can provide a powerful tool for accident prediction, which will contribute to making more informed decisions regarding road safety. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=machine%20learning" title="machine learning">machine learning</a>, <a href="https://publications.waset.org/abstracts/search?q=artificial%20intelligence" title=" artificial intelligence"> artificial intelligence</a>, <a href="https://publications.waset.org/abstracts/search?q=frequency%20of%20accidents" title=" frequency of accidents"> frequency of accidents</a>, <a href="https://publications.waset.org/abstracts/search?q=road%20safety" title=" road safety"> road safety</a> </p> <a href="https://publications.waset.org/abstracts/178875/machine-learning-techniques-to-develop-traffic-accident-frequency-prediction-models" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/178875.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">2033</span> Empirical Investigations on Speed Differentiations of Traffic Flow: A Case Study on a Basic Freeway Segment of O-2 in Istanbul</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Hamed%20Rashid%20Sarand">Hamed Rashid Sarand</a>, <a href="https://publications.waset.org/abstracts/search?q=Kemal%20Sel%C3%A7uk%20%C3%96%C4%9F%C3%BCt"> Kemal Selçuk Öğüt</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Speed is one of the fundamental variables of road traffic flow that stands as an important evaluation criterion for traffic analyses in several aspects. In particular, varieties of speed variable, such as average speed, free flow speed, optimum speed (capacity speed), acceleration/deceleration speed and so on, have been explicitly considered in the analysis of not only road safety but also road capacity. In the purpose of realizing 'road speed – maximum speed difference across lanes' and 'road flow rate – maximum speed difference across lanes' relations on freeway traffic, this study presents a case study conducted on a basic freeway segment of O-2 in Istanbul. The traffic data employed in this study have been obtained from 5 remote traffic microwave sensors operated by Istanbul Metropolitan Municipality. The study stretch is located between two successive freeway interchanges: Ümraniye and Kavacık. Daily traffic data of 4 years (2011-2014) summer months, July and August are used. The speed data are analyzed into two main flow areas such as uncongested and congested flows. In this study, the regression analyses were carried out in order to examine the relationship between maximum speed difference across lanes and road speed. These investigations were implemented at uncongested and congested flows, separately. Moreover, the relationship between maximum speed difference across lanes and road flow rate were evaluated by applying regression analyses for both uncongested and congested flows separately. It is concluded that there is the moderate relationship between maximum speed difference across lanes and road speed in 50% cases. Additionally, it is indicated that there is the moderate relationship between maximum speed difference across lanes and road flow rate in 30% cases. The maximum speed difference across lanes decreases as the road flow rate increases. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=maximum%20speed%20difference" title="maximum speed difference">maximum speed difference</a>, <a href="https://publications.waset.org/abstracts/search?q=regression%20analysis" title=" regression analysis"> regression analysis</a>, <a href="https://publications.waset.org/abstracts/search?q=remote%20traffic%20microwave%20sensor" title=" remote traffic microwave sensor"> remote traffic microwave sensor</a>, <a href="https://publications.waset.org/abstracts/search?q=speed%20differentiation" title=" speed differentiation"> speed differentiation</a>, <a href="https://publications.waset.org/abstracts/search?q=traffic%20flow" title=" traffic flow "> traffic flow </a> </p> <a href="https://publications.waset.org/abstracts/36794/empirical-investigations-on-speed-differentiations-of-traffic-flow-a-case-study-on-a-basic-freeway-segment-of-o-2-in-istanbul" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/36794.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">367</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">2032</span> Urban Traffic: Understanding the Traffic Flow Factor Through Fluid Dynamics</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Sathish%20Kumar%20Jayaraj">Sathish Kumar Jayaraj</a> </p> <p class="card-text"><strong>Abstract:</strong></p> The study of urban traffic dynamics, underpinned by the principles of fluid dynamics, offers a distinct perspective to comprehend and enhance the efficiency of traffic flow within bustling cityscapes. Leveraging the concept of the Traffic Flow Factor (TFF) as an analog to the Reynolds number, this research delves into the intricate interplay between traffic density, velocity, and road category, drawing compelling parallels to fluid dynamics phenomena. By introducing the notion of Vehicle Shearing Resistance (VSR) as an analogy to dynamic viscosity, the study sheds light on the multifaceted influence of traffic regulations, lane management, and road infrastructure on the smoothness and resilience of traffic flow. The TFF equation serves as a comprehensive metric for quantifying traffic dynamics, enabling the identification of congestion hotspots, the optimization of traffic signal timings, and the formulation of data-driven traffic management strategies. The study underscores the critical significance of integrating fluid dynamics principles into the domain of urban traffic management, fostering sustainable transportation practices, and paving the way for a more seamless and resilient urban mobility ecosystem. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=traffic%20flow%20factor%20%28TFF%29" title="traffic flow factor (TFF)">traffic flow factor (TFF)</a>, <a href="https://publications.waset.org/abstracts/search?q=urban%20traffic%20dynamics" title=" urban traffic dynamics"> urban traffic dynamics</a>, <a href="https://publications.waset.org/abstracts/search?q=fluid%20dynamics%20principles" title=" fluid dynamics principles"> fluid dynamics principles</a>, <a href="https://publications.waset.org/abstracts/search?q=vehicle%20shearing%20resistance%20%28VSR%29" title=" vehicle shearing resistance (VSR)"> vehicle shearing resistance (VSR)</a>, <a href="https://publications.waset.org/abstracts/search?q=traffic%20congestion%20management" title=" traffic congestion management"> traffic congestion management</a>, <a href="https://publications.waset.org/abstracts/search?q=sustainable%20urban%20mobility" title=" sustainable urban mobility"> sustainable urban mobility</a> </p> <a href="https://publications.waset.org/abstracts/182540/urban-traffic-understanding-the-traffic-flow-factor-through-fluid-dynamics" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/182540.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">62</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">2031</span> Traffic Safety and Risk Assessment Model by Analysis of Questionnaire Survey: A Case Study of S. G. Highway, Ahmedabad, India</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Abhijitsinh%20Gohil">Abhijitsinh Gohil</a>, <a href="https://publications.waset.org/abstracts/search?q=Kaushal%20Wadhvaniya"> Kaushal Wadhvaniya</a>, <a href="https://publications.waset.org/abstracts/search?q=Kuldipsinh%20Jadeja"> Kuldipsinh Jadeja</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Road Safety is a multi-sectoral and multi-dimensional issue. An effective model can assess the risk associated with highway safety. A questionnaire survey is very essential to identify the events or activities which are causing unsafe condition for traffic on an urban highway. A questionnaire of standard questions including vehicular, human and infrastructure characteristics can be made. Responses from the age wise group of road users can be taken on field. Each question or an event holds a specific risk weightage, which contributes in creating an inappropriate and unsafe flow of traffic. The probability of occurrence of an event can be calculated from the data collected from the road users. Finally, the risk score can be calculated by considering the risk factor and the probability of occurrence of individual event and addition of all risk score for the individual event will give the total risk score of a particular road. Standards for risk score can be made and total risk score can be compared with the standards. Thus road can be categorized based on risk associated and traffic safety on it. With this model, one can assess the need for traffic safety improvement on a given road, and qualitative data can be analysed. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=probability%20of%20occurrence" title="probability of occurrence">probability of occurrence</a>, <a href="https://publications.waset.org/abstracts/search?q=questionnaire" title=" questionnaire"> questionnaire</a>, <a href="https://publications.waset.org/abstracts/search?q=risk%20factor" title=" risk factor"> risk factor</a>, <a href="https://publications.waset.org/abstracts/search?q=risk%20score" title=" risk score"> risk score</a> </p> <a href="https://publications.waset.org/abstracts/72400/traffic-safety-and-risk-assessment-model-by-analysis-of-questionnaire-survey-a-case-study-of-s-g-highway-ahmedabad-india" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/72400.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">338</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">2030</span> The Asia-European Union (EU) Traffic Safety Benchmarking</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Ghazwan%20Al-Haji">Ghazwan Al-Haji</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Traffic safety has become a major concern in Southeast Asia due to the increasing number of road accidents resulting in fatalities and injuries. Southeast Asia has one of the highest road traffic fatality rates in the world, in terms of both population and number of cars, nearly six times higher than the EU region. One of the reasons for this concerning trend is the increasing share of motorcycles as a form of transportation throughout Southeast Asia. The purpose of this study is to benchmark traffic safety situations and statistics in six countries in Asia and the EU, which Indonesia, Malaysia, Vietnam, Italy, Portugal and Sweden. The research will assess the priorities and causes of road accidents in the target nations. Further, the study will analyze the existing practices and promote best practices that can be implemented toward safer roads in Asian target countries. In order to achieve this goal, the study categorizes various factors contributing to traffic accidents and best practices into 4 pillars (Safer Behavior, Safer Roads, Safer Vehicles and Road Safety Management). The result of the study consists of a list of recommendations that can be applied by policymakers to promote safer roads in Asia towards 2030. The study is co-financed by the EU project ASIASAFE. <p class="card-text"><strong>Keywords:</strong> <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=ASIASAFE" title=" ASIASAFE"> ASIASAFE</a>, <a href="https://publications.waset.org/abstracts/search?q=Southeast%20Asia" title=" Southeast Asia"> Southeast Asia</a>, <a href="https://publications.waset.org/abstracts/search?q=EU%20project" title=" EU project"> EU project</a> </p> <a href="https://publications.waset.org/abstracts/166078/the-asia-european-union-eu-traffic-safety-benchmarking" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/166078.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">69</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">2029</span> Traffic Congestion Analysis and Modeling for Urban Roads of Srinagar City</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Adinarayana%20Badveeti">Adinarayana Badveeti</a>, <a href="https://publications.waset.org/abstracts/search?q=Mohammad%20Shafi%20Mir"> Mohammad Shafi Mir</a> </p> <p class="card-text"><strong>Abstract:</strong></p> In Srinagar City, in India, traffic congestion is a condition on transport networks that occurs as use increases and is characterized by slower speeds, longer trip times, and increased vehicular queuing. Traffic congestion is conventionally measured using indicators such as roadway level-of-service, the Travel Time Index and their variants. Several measures have been taken in order to counteract congestion like road pricing, car pooling, improved traffic management, etc. While new road construction can temporarily relieve congestion in the longer term, it simply encourages further growth in car traffic through increased travel and a switch away from public transport. The full paper report, on which this abstract is based, aims to provide policymakers and technical staff with the real-time data, conceptual framework and guidance on some of the engineering tools necessary to manage congestion in such a way as to reduce its overall impact on individuals, families, communities, and societies dynamic, affordable, liveable and attractive urban regions will never be free of congestion. Road transport policies, however, should seek to manage congestion on a cost-effective basis with the aim of reducing the burden that excessive congestion imposes upon travellers and urban dwellers throughout the urban road network. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=traffic%20congestion" title="traffic congestion">traffic congestion</a>, <a href="https://publications.waset.org/abstracts/search?q=modeling" title=" modeling"> modeling</a>, <a href="https://publications.waset.org/abstracts/search?q=traffic%20management" title=" traffic management"> traffic management</a>, <a href="https://publications.waset.org/abstracts/search?q=travel%20time%20index" title=" travel time index"> travel time index</a> </p> <a href="https://publications.waset.org/abstracts/82508/traffic-congestion-analysis-and-modeling-for-urban-roads-of-srinagar-city" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/82508.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">319</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">2028</span> Mapping of Traffic Noise in Riyadh City-Saudi Arabia </h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Khaled%20A.%20Alsaif">Khaled A. Alsaif</a>, <a href="https://publications.waset.org/abstracts/search?q=Mosaad%20A.%20Foda"> Mosaad A. Foda</a> </p> <p class="card-text"><strong>Abstract:</strong></p> The present work aims at development of traffic noise maps for Riyadh City using the software Lima. Road traffic data were estimated or measured as accurate as possible in order to obtain consistent noise maps. The predicted noise levels at some selected sites are validated by actual field measurements, which are obtained by a system that consists of a sound level meter, a GPS receiver and a database to manage the measured data. The maps show that noise levels remain over 50 dBA and can exceed 70 dBA at the nearside of major roads and highways. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=noise%20pollution" title="noise pollution">noise pollution</a>, <a href="https://publications.waset.org/abstracts/search?q=road%20traffic%20noise" title=" road traffic noise"> road traffic noise</a>, <a href="https://publications.waset.org/abstracts/search?q=LimA%20predictor" title=" LimA predictor"> LimA predictor</a>, <a href="https://publications.waset.org/abstracts/search?q=GPS" title=" GPS"> GPS</a> </p> <a href="https://publications.waset.org/abstracts/36791/mapping-of-traffic-noise-in-riyadh-city-saudi-arabia" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/36791.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">384</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">2027</span> Artificial Neural Network and Statistical Method</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Tomas%20Berhanu%20Bekele">Tomas Berhanu Bekele</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Traffic congestion is one of the main problems related to transportation in developed as well as developing countries. Traffic control systems are based on the idea of avoiding traffic instabilities and homogenizing traffic flow in such a way that the risk of accidents is minimized and traffic flow is maximized. Lately, Intelligent Transport Systems (ITS) has become an important area of research to solve such road traffic-related issues for making smart decisions. It links people, roads and vehicles together using communication technologies to increase safety and mobility. Moreover, accurate prediction of road traffic is important to manage traffic congestion. The aim of this study is to develop an ANN model for the prediction of traffic flow and to compare the ANN model with the linear regression model of traffic flow predictions. Data extraction was carried out in intervals of 15 minutes from the video player. Video of mixed traffic flow was taken and then counted during office work in order to determine the traffic volume. Vehicles were classified into six categories, namely Car, Motorcycle, Minibus, mid-bus, Bus, and Truck vehicles. The average time taken by each vehicle type to travel the trap length was measured by time displayed on a video screen. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=intelligent%20transport%20system%20%28ITS%29" title="intelligent transport system (ITS)">intelligent transport system (ITS)</a>, <a href="https://publications.waset.org/abstracts/search?q=traffic%20flow%20prediction" title=" traffic flow prediction"> traffic flow prediction</a>, <a href="https://publications.waset.org/abstracts/search?q=artificial%20neural%20network%20%28ANN%29" title=" artificial neural network (ANN)"> artificial neural network (ANN)</a>, <a href="https://publications.waset.org/abstracts/search?q=linear%20regression" title=" linear regression"> linear regression</a> </p> <a href="https://publications.waset.org/abstracts/183194/artificial-neural-network-and-statistical-method" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/183194.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">67</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">2026</span> Traffic Accident Risk Assessment on National Roads: A Case Study in East Aceh Regency</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Muksalmina">Muksalmina</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Transportation plays an important role in people's daily activities but is often marred by traffic accidents. In Indonesia, traffic accidents are the third leading cause of death after coronary heart disease and tuberculosis, according to the World Health Organization (2013). Several roads in East Aceh District are strategic access points for economic growth in the Aceh region. There were 446 traffic accidents in 2023, which is the highest case in the last five years. This study aims to analyze black spot locations on national roads in East Aceh District and evaluate road safety deficiencies in the area. The research methodology began by selecting the locations with the highest accident rates based on data from East Aceh Police from 2019-2023. Next, Average Daily Traffic (ADT) was measured by projecting population growth data. The analysis of road safety deficiencies included measurements of road geometrics, traffic signs and markings, and traffic volumes at black spot locations. The study results showed deficiencies in lane width, shoulder width, and inadequate road safety facilities at several locations. Recommendations for improvements include increasing lane and shoulder widths and adding signs and markings to improve safety. This study is expected to serve as a reference for the government and relevant stakeholders in improving traffic safety in East Aceh District. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=black%20spot" title="black spot">black spot</a>, <a href="https://publications.waset.org/abstracts/search?q=traffic%20accident" title=" traffic accident"> traffic accident</a>, <a href="https://publications.waset.org/abstracts/search?q=severity%20index" title=" severity index"> severity index</a>, <a href="https://publications.waset.org/abstracts/search?q=road%20safety" title=" road safety"> road safety</a> </p> <a href="https://publications.waset.org/abstracts/188391/traffic-accident-risk-assessment-on-national-roads-a-case-study-in-east-aceh-regency" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/188391.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">33</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">2025</span> Mixed Traffic Speed–Flow Behavior under Influence of Road Side Friction and Non-Motorized Vehicles: A Comparative Study of Arterial Roads in India</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Chetan%20R.%20Patel">Chetan R. Patel</a>, <a href="https://publications.waset.org/abstracts/search?q=G.%20J.%20Joshi"> G. J. Joshi</a> </p> <p class="card-text"><strong>Abstract:</strong></p> The present study is carried out on six lane divided urban arterial road in Patna and Pune city of India. Both the road having distinct differences in terms of the vehicle composition and the road side parking. Arterial road in Patan city has 33% of non-motorized mode, whereas Pune arterial road dominated by 65% of Two wheeler. Also road side parking is observed in Patna city. The field studies using vidiographic techniques are carried out for traffic data collection. Data are extracted for one minute duration for vehicle composition, speed variation and flow rate on selected arterial road of the two cities. Speed flow relationship is developed and capacity is determine. Equivalency factor in terms of dynamic car unit is determine to represent the vehicle is single unit. The variation in the capacity due to side friction, presence of non motorized traffic and effective utilization of lane width is compared at concluding remarks. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=arterial%20road" title="arterial road">arterial road</a>, <a href="https://publications.waset.org/abstracts/search?q=capacity" title=" capacity"> capacity</a>, <a href="https://publications.waset.org/abstracts/search?q=dynamic%20equivalency%20factor" title=" dynamic equivalency factor"> dynamic equivalency factor</a>, <a href="https://publications.waset.org/abstracts/search?q=effect%20of%20non%20motorized%20mode" title=" effect of non motorized mode"> effect of non motorized mode</a>, <a href="https://publications.waset.org/abstracts/search?q=side%20friction" title=" side friction"> side friction</a> </p> <a href="https://publications.waset.org/abstracts/16039/mixed-traffic-speed-flow-behavior-under-influence-of-road-side-friction-and-non-motorized-vehicles-a-comparative-study-of-arterial-roads-in-india" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/16039.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">348</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">2024</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> <ul class="pagination"> <li class="page-item disabled"><span class="page-link">&lsaquo;</span></li> <li class="page-item active"><span class="page-link">1</span></li> <li class="page-item"><a class="page-link" href="https://publications.waset.org/abstracts/search?q=road%20traffic&page=2">2</a></li> <li class="page-item"><a class="page-link" href="https://publications.waset.org/abstracts/search?q=road%20traffic&page=3">3</a></li> <li class="page-item"><a class="page-link" href="https://publications.waset.org/abstracts/search?q=road%20traffic&page=4">4</a></li> <li class="page-item"><a class="page-link" href="https://publications.waset.org/abstracts/search?q=road%20traffic&page=5">5</a></li> <li class="page-item"><a class="page-link" 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