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capacity</title> <meta name="description" content="Search results for: traffic capacity"> <meta name="keywords" content="traffic capacity"> <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 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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="traffic capacity"> <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> 5238</div> </div> </div> </div> <h1 class="mt-3 mb-3 text-center" style="font-size:1.6rem;">Search results for: traffic capacity</h1> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">5238</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">5237</span> Parametric Estimation of U-Turn Vehicles</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Yonas%20Masresha%20Aymeku">Yonas Masresha Aymeku</a> </p> <p class="card-text"><strong>Abstract:</strong></p> The purpose of capacity modelling at U-turns is to develop a relationship between capacity and its geometric characteristics. In fact, the few models available for the estimation of capacity at different transportation facilities do not provide specific guidelines for median openings. For this reason, an effort is made to estimate the capacity by collecting the data sets from median openings at different lane roads in Hyderabad City, India. Wide difference (43% -59%) among the capacity values estimated by the existing models shows the limitation to consider for mixed traffic situations. Thus, a distinct model is proposed for the estimation of the capacity of U-turn vehicles at median openings considering mixed traffic conditions, which would further prompt to investigate the effect of different factors that might affect the capacity. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=geometric" title="geometric">geometric</a>, <a href="https://publications.waset.org/abstracts/search?q=guiddelines" title=" guiddelines"> guiddelines</a>, <a href="https://publications.waset.org/abstracts/search?q=median" title=" median"> median</a>, <a href="https://publications.waset.org/abstracts/search?q=vehicles" title=" vehicles"> vehicles</a> </p> <a href="https://publications.waset.org/abstracts/184454/parametric-estimation-of-u-turn-vehicles" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/184454.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">5236</span> Implementation of Traffic Engineering Using MPLS Technology</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Vishal%20H.%20Shukla">Vishal H. Shukla</a>, <a href="https://publications.waset.org/abstracts/search?q=Sanjay%20B.%20Deshmukh"> Sanjay B. Deshmukh</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Traffic engineering, at its center, is the ability of moving traffic approximately so that traffic from a congested link is moved onto the unused capacity on another link. Traffic Engineering ensures the best possible use of the resources. Now to support traffic engineering in the today’s network, Multiprotocol Label Switching (MPLS) is being used which is very helpful for reliable packets delivery in an ongoing internet services. Here a topology is been implemented on GNS3 to focus on the analysis of the communication take place from one site to other through the ISP. The comparison is made between the IP network & MPLS network based on Bandwidth & Jitter which are one of the performance parameters using JPERF simulator. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=GNS3" title="GNS3">GNS3</a>, <a href="https://publications.waset.org/abstracts/search?q=JPERF" title=" JPERF"> JPERF</a>, <a href="https://publications.waset.org/abstracts/search?q=MPLS" title=" MPLS"> MPLS</a>, <a href="https://publications.waset.org/abstracts/search?q=traffic%20engineering" title=" traffic engineering"> traffic engineering</a>, <a href="https://publications.waset.org/abstracts/search?q=VMware" title=" VMware"> VMware</a> </p> <a href="https://publications.waset.org/abstracts/23898/implementation-of-traffic-engineering-using-mpls-technology" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/23898.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">487</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">5235</span> Proposed Alternative System for Existing Traffic Signal System</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Alluri%20Swaroopa">Alluri Swaroopa</a>, <a href="https://publications.waset.org/abstracts/search?q=L.%20V.%20N.%20Prasad"> L. V. N. Prasad</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Alone with fast urbanization in world, traffic control problem became a big issue in urban construction. Having an efficient and reliable traffic control system is crucial to macro-traffic control. Traffic signal is used to manage conflicting requirement by allocating different sets of mutually compatible traffic movement during distinct time interval. Many approaches have been made proposed to solve this discrete stochastic problem. Recognizing the need to minimize right-of-way impacts while efficiently handling the anticipated high traffic volumes, the proposed alternative system gives effective design. This model allows for increased traffic capacity and reduces delays by eliminating a step in maneuvering through the freeway interchange. The concept proposed in this paper involves construction of bridges and ramps at intersection of four roads to control the vehicular congestion and to prevent traffic breakdown. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=bridges" title="bridges">bridges</a>, <a href="https://publications.waset.org/abstracts/search?q=junctions" title=" junctions"> junctions</a>, <a href="https://publications.waset.org/abstracts/search?q=ramps" title=" ramps"> ramps</a>, <a href="https://publications.waset.org/abstracts/search?q=urban%20traffic%20control" title=" urban traffic control"> urban traffic control</a> </p> <a href="https://publications.waset.org/abstracts/27580/proposed-alternative-system-for-existing-traffic-signal-system" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/27580.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">553</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">5234</span> Roundabout Implementation Analyses Based on Traffic Microsimulation Model</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Sanja%20%C5%A0urdonja">Sanja Šurdonja</a>, <a href="https://publications.waset.org/abstracts/search?q=Aleksandra%20Deluka-Tiblja%C5%A1"> Aleksandra Deluka-Tibljaš</a>, <a href="https://publications.waset.org/abstracts/search?q=Mirna%20Klobu%C4%8Dar"> Mirna Klobučar</a>, <a href="https://publications.waset.org/abstracts/search?q=Irena%20I%C5%A1toka%20Otkovi%C4%87"> Irena Ištoka Otković</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Roundabouts are a common choice in the case of reconstruction of an intersection, whether it is to improve the capacity of the intersection or traffic safety, especially in urban conditions. The regulation for the design of roundabouts is often related to driving culture, the tradition of using this type of intersection, etc. Individual values in the regulation are usually recommended in a wide range (this is the case in Croatian regulation), and the final design of a roundabout largely depends on the designer's experience and his/her choice of design elements. Therefore, before-after analyses are a good way to monitor the performance of roundabouts and possibly improve the recommendations of the regulation. This paper presents a comprehensive before-after analysis of a roundabout on the country road network near Rijeka, Croatia. The analysis is based on a thorough collection of traffic data (operating speeds and traffic load) and design elements data, both before and after the reconstruction into a roundabout. At the chosen location, the roundabout solution aimed to improve capacity and traffic safety. Therefore, the paper analyzed the collected data to see if the roundabout achieved the expected effect. A traffic microsimulation model (VISSIM) of the roundabout was created based on the real collected data, and the influence of the increase of traffic load and different traffic structures, as well as of the selected design elements on the capacity of the roundabout, were analyzed. Also, through the analysis of operating speeds and potential conflicts by application of the Surrogate Safety Assessment Model (SSAM), the traffic safety effect of the roundabout was analyzed. The results of this research show the practical value of before-after analysis as an indicator of roundabout effectiveness at a specific location. The application of a microsimulation model provides a practical method for analyzing intersection functionality from a capacity and safety perspective in present and changed traffic and design conditions. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=before-after%20analysis" title="before-after analysis">before-after analysis</a>, <a href="https://publications.waset.org/abstracts/search?q=operating%20speed" title=" operating speed"> operating speed</a>, <a href="https://publications.waset.org/abstracts/search?q=capacity" title=" capacity"> capacity</a>, <a href="https://publications.waset.org/abstracts/search?q=design." title=" design."> design.</a> </p> <a href="https://publications.waset.org/abstracts/190138/roundabout-implementation-analyses-based-on-traffic-microsimulation-model" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/190138.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">22</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">5233</span> Highway Capacity and Level of Service</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Kidist%20Mesfin%20Nguse">Kidist Mesfin Nguse</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Ethiopia is the second most densely populated nation in Africa, and about 121 million people as the 2022 Ethiopia population live report recorded. In recent years, the Ethiopian government (GOE) has been gradually growing its road network. With 138,127 kilometers (85,825 miles) of all-weather roads as of the end of 2018–19, Ethiopia possessed just 39% of the nation's necessary road network and lacked a well-organized system. The Ethiopian urban population report recorded that about 21% of the population lives in urban areas, and the high population, coupled with growth in various infrastructures, has led to the migration of the workforce from rural areas to cities across the country. In main roads, the heterogeneous traffic flow with various operational features makes it more unfavorable, causing frequent congestion in the stretch of road. The Level of Service (LOS), a qualitative measure of traffic, is categorized based on the operating conditions in the traffic stream. Determining the capacity and LOS for this city is very crucial as this affects the planning and design of traffic systems and their operation, and the allocation of route selection for infrastructure building projects to provide for a considerably good level of service. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=capacity" title="capacity">capacity</a>, <a href="https://publications.waset.org/abstracts/search?q=level%20of%20service" title=" level of service"> level of service</a>, <a href="https://publications.waset.org/abstracts/search?q=traffic%20volume" title=" traffic volume"> traffic volume</a>, <a href="https://publications.waset.org/abstracts/search?q=free%20flow%20speed" title=" free flow speed"> free flow speed</a> </p> <a href="https://publications.waset.org/abstracts/182368/highway-capacity-and-level-of-service" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/182368.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">51</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">5232</span> Optimization Method of the Number of Berth at Bus Rapid Transit Stations Based on Passenger Flow Demand</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Wei%20Kunkun">Wei Kunkun</a>, <a href="https://publications.waset.org/abstracts/search?q=Cao%20Wanyang"> Cao Wanyang</a>, <a href="https://publications.waset.org/abstracts/search?q=Xu%20Yujie"> Xu Yujie</a>, <a href="https://publications.waset.org/abstracts/search?q=Qiao%20Yuzhi"> Qiao Yuzhi</a>, <a href="https://publications.waset.org/abstracts/search?q=Liu%20Yingning"> Liu Yingning</a> </p> <p class="card-text"><strong>Abstract:</strong></p> The reasonable design of bus parking spaces can improve the traffic capacity of the station and reduce traffic congestion. In order to reasonably determine the number of berths at BRT (Bus Rapid Transit) stops, it is based on the actual bus rapid transit station observation data, scheduling data, and passenger flow data. Optimize the number of station berths from the perspective of optimizing the balance of supply and demand at the site. Combined with the classical capacity calculation model, this paper first analyzes the important factors affecting the traffic capacity of BRT stops by using SPSS PRO and MATLAB programming software, namely the distribution of BRT stops and the distribution of BRT stop time. Secondly, the method of calculating the number of the classic human capital management (HCM) model is optimized based on the actual passenger demand of the station, and the method applicable to the actual number of station berths is proposed. Taking Gangding Station of Zhongshan Avenue Bus Rapid Transit Corridor in Guangzhou as an example, based on the calculation method proposed in this paper, the number of berths of sub-station 1, sub-station 2 and sub-station 3 is 2, which reduces the road space of the station by 33.3% compared with the previous berth 3 of each sub-station, and returns to social vehicles. Therefore, under the condition of ensuring the passenger flow demand of BRT stations, the road space of the station is reduced, and the road is returned to social vehicles, the traffic capacity of social vehicles is improved, and the traffic capacity and efficiency of the BRT corridor system are improved as a whole. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=urban%20transportation" title="urban transportation">urban transportation</a>, <a href="https://publications.waset.org/abstracts/search?q=bus%20rapid%20transit%20station" title=" bus rapid transit station"> bus rapid transit station</a>, <a href="https://publications.waset.org/abstracts/search?q=HCM%20model" title=" HCM model"> HCM model</a>, <a href="https://publications.waset.org/abstracts/search?q=capacity" title=" capacity"> capacity</a>, <a href="https://publications.waset.org/abstracts/search?q=number%20of%20berths" title=" number of berths"> number of berths</a> </p> <a href="https://publications.waset.org/abstracts/165595/optimization-method-of-the-number-of-berth-at-bus-rapid-transit-stations-based-on-passenger-flow-demand" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/165595.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">5231</span> Quantifying Freeway Capacity Reductions by Rainfall Intensities Based on Stochastic Nature of Flow Breakdown</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Hoyoung%20Lee">Hoyoung Lee</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>, <a href="https://publications.waset.org/abstracts/search?q=R.%20Eddie%20Wilson"> R. Eddie Wilson</a> </p> <p class="card-text"><strong>Abstract:</strong></p> <p class="Abstract"><span lang="EN-US">This study quantifies a decrement in freeway capacity during rainfall. Traffic and rainfall data were gathered from Highway Agencies and Wunderground weather service. Three inter-urban freeway sections and its nearest weather stations were selected as experimental sites. Capacity analysis found reductions of maximum and mean pre-breakdown flow rates due to rainfall. The Kruskal-Wallis test also provided some evidence to suggest that the variance in the pre-breakdown flow rate is statistically insignificant. Potential application of this study lies in the operation of real time traffic management schemes such as Variable Speed Limits (VSL), Hard Shoulder Running (HSR), and Ramp Metering System (RMS), where speed or flow limits could be set based on a number of factors, including rainfall events and their intensities.<o:p> </o:p></span> <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=capacity%20randomness" title="capacity randomness">capacity randomness</a>, <a href="https://publications.waset.org/abstracts/search?q=flow%20breakdown" title=" flow breakdown"> flow breakdown</a>, <a href="https://publications.waset.org/abstracts/search?q=freeway%20capacity" title=" freeway capacity"> freeway capacity</a>, <a href="https://publications.waset.org/abstracts/search?q=rainfall" title=" rainfall"> rainfall</a> </p> <a href="https://publications.waset.org/abstracts/69639/quantifying-freeway-capacity-reductions-by-rainfall-intensities-based-on-stochastic-nature-of-flow-breakdown" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/69639.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">381</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">5230</span> Influence of Driving Speed on Bearing Capacity Measurement of Intra-Urban Roads with the Traffic Speed Deflectometer(Tsd)</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Pahirangan%20Sivapatham">Pahirangan Sivapatham</a>, <a href="https://publications.waset.org/abstracts/search?q=Barbara%20Esser"> Barbara Esser</a>, <a href="https://publications.waset.org/abstracts/search?q=Andreas%20Grimmel"> Andreas Grimmel</a> </p> <p class="card-text"><strong>Abstract:</strong></p> In times of limited public funds and, in particular, an increased social, environmental awareness, as well as the limited availability of construction materials, sustainable and resource-saving pavement management system, is becoming more and more important. Therefore, the knowledge about the condition of the structural substances, particularly bearing capacity and its consideration while planning the maintenance measures of the subordinate network, i.e., state and municipal roads unavoidable. According to the experience, the recommended ride speed of the Traffic Speed Deflectometer (TSD) shall be higher than 40 km/h. Holding of this speed on the intra-urban roads is nearly not possible because of intersections and traffic lights as well as the speed limit. A sufficient background of experience for the evaluation of bearing capacity measurements with TSD in the range of lower speeds is not available yet. The aim of this study is to determine the possible lowest ride speed of the TSD while the bearing capacity measurement on the intra-urban roads. The manufacturer of the TSD used in this study states that the measurements can be conducted at a ride speed of higher than 5 km/h. It is well known that with decreasing ride speed, the viscous fractions in the response of the asphalt pavement increase. This must be taken into account when evaluating the bearing capacity data. In the scope of this study, several measurements were carried out at different speeds between 10 km/h and 60 km/h on the selected intra-urban roads with Pavement-Scanner of the University of Wuppertal, which is equipped with TSD. Pavement-Scanner is able to continuously determine the deflections of asphalt roads in flowing traffic at speeds of up to 80 km/h. The raw data is then aggregated to 10 m mean values so that, as a rule, a bearing capacity characteristic value can be determined for each 10 m road section. By means of analysing of obtained test results, the quality and validity of the determined data rate subject to the riding speed of TSD have been determined. Moreover, the data and pictures of the additional measuring systems of Pavement-Scanners such as High-Speed Road Monitor, Ground Penetration Radar and front cameras can be used to determine and eliminate irregularities in the pavement, which could influence the bearing capacity. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=bearing%20capacity%20measurement" title="bearing capacity measurement">bearing capacity measurement</a>, <a href="https://publications.waset.org/abstracts/search?q=traffic%20speed%20deflectometer" title=" traffic speed deflectometer"> traffic speed deflectometer</a>, <a href="https://publications.waset.org/abstracts/search?q=inter-urban%20roads" title=" inter-urban roads"> inter-urban roads</a>, <a href="https://publications.waset.org/abstracts/search?q=Pavement-Scanner" title=" Pavement-Scanner"> Pavement-Scanner</a>, <a href="https://publications.waset.org/abstracts/search?q=structural%20substance" title=" structural substance"> structural substance</a> </p> <a href="https://publications.waset.org/abstracts/137873/influence-of-driving-speed-on-bearing-capacity-measurement-of-intra-urban-roads-with-the-traffic-speed-deflectometertsd" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/137873.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">5229</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">5228</span> Comparative Analysis of Traditional and Modern Roundabouts Using Sidra Intersection</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Amir%20Mohammad%20Parvini">Amir Mohammad Parvini</a>, <a href="https://publications.waset.org/abstracts/search?q=Amir%20Masoud%20Rahimi"> Amir Masoud Rahimi</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Currently, most parts of the world have shifted from traditional roundabouts to modern roundabouts with respect to the role of roundabouts in reducing accidents, increasing safety, lowering the maintenance costs compared to traffic circles with their improper functional and safety experiences. In this study, field data collected from a current traditional roundabout was analyzed by the software AIMSUN and the obtained numbers were recorded. The modern roundabout was designed by changes in the traditional one, considering the geometric standards listed in regulations. Then, the modern roundabout was analyzed by applying a heterogeneous traffic by a micro-simulation software SIDRA (5.1). The function, capacity, and safety of the roundabout were analyzed assuming the superiority of modern roundabouts and acceptable LOS. The obtained results indicate that the function, capacity, and safety of modern roundabouts are better than traditional ones. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=traditional%20roundabout" title="traditional roundabout">traditional roundabout</a>, <a href="https://publications.waset.org/abstracts/search?q=traffic%20circles" title=" traffic circles"> traffic circles</a>, <a href="https://publications.waset.org/abstracts/search?q=modern%20roundabout" title=" modern roundabout"> modern roundabout</a>, <a href="https://publications.waset.org/abstracts/search?q=AIMSUN" title=" AIMSUN"> AIMSUN</a>, <a href="https://publications.waset.org/abstracts/search?q=SIDRA" title=" SIDRA"> SIDRA</a> </p> <a href="https://publications.waset.org/abstracts/52692/comparative-analysis-of-traditional-and-modern-roundabouts-using-sidra-intersection" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/52692.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">399</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">5227</span> Conventional Four Steps Travel Demand Modeling for Kabul New City</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Ahmad%20Mansoor%20Stanikzai">Ahmad Mansoor Stanikzai</a>, <a href="https://publications.waset.org/abstracts/search?q=Yoshitaka%20Kajita"> Yoshitaka Kajita</a> </p> <p class="card-text"><strong>Abstract:</strong></p> This research is a very essential towards transportation planning of Kabul New City. In this research, the travel demand of Kabul metropolitan area (Existing and Kabul New City) are evaluated for three different target years (2015, current, 2025, mid-term, 2040, long-term). The outcome of this study indicates that, though currently the vehicle volume is less the capacity of existing road networks, Kabul city is suffering from daily traffic congestions. This is mainly due to lack of transportation management, the absence of proper policies, improper public transportation system and violation of traffic rules and regulations by inhabitants. On the other hand, the observed result indicates that the current vehicle to capacity ratio (VCR) which is the most used index to judge traffic status in the city is around 0.79. This indicates the inappropriate traffic condition of the city. Moreover, by the growth of population in mid-term (2025) and long-term (2040) and in the case of no development in the road network and transportation system, the VCR value will dramatically increase to 1.40 (2025) and 2.5 (2040). This can be a critical situation for an urban area from an urban transportation perspective. Thus, by introducing high-capacity public transportation system and the development of road network in Kabul New City and integrating these links with the existing city road network, significant improvements were observed in the value of VCR. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=Afghanistan" title="Afghanistan">Afghanistan</a>, <a href="https://publications.waset.org/abstracts/search?q=Kabul%20new%20city" title=" Kabul new city"> Kabul new city</a>, <a href="https://publications.waset.org/abstracts/search?q=planning" title=" planning"> planning</a>, <a href="https://publications.waset.org/abstracts/search?q=policy" title=" policy"> policy</a>, <a href="https://publications.waset.org/abstracts/search?q=urban%20transportation" title=" urban transportation"> urban transportation</a> </p> <a href="https://publications.waset.org/abstracts/74340/conventional-four-steps-travel-demand-modeling-for-kabul-new-city" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/74340.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">331</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">5226</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">5225</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">5224</span> Dynamic Network Approach to Air Traffic Management</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Catia%20S.%20A.%20Sima">Catia S. A. Sima</a>, <a href="https://publications.waset.org/abstracts/search?q=K.%20Bousson"> K. Bousson</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Congestion in the Terminal Maneuvering Areas (TMAs) of larger airports impacts all aspects of air traffic flow, not only at national level but may also induce arrival delays at international level. Hence, there is a need to monitor appropriately the air traffic flow in TMAs so that efficient decisions may be taken to manage their occupancy rates. It would be desirable to physically increase the existing airspace to accommodate all existing demands, but this question is entirely utopian and, given this possibility, several studies and analyses have been developed over the past decades to meet the challenges that have arisen due to the dizzying expansion of the aeronautical industry. The main objective of the present paper is to propose concepts to manage and reduce the degree of uncertainty in the air traffic operations, maximizing the interest of all involved, ensuring a balance between demand and supply, and developing and/or adapting resources that enable a rapid and effective adaptation of measures to the current context and the consequent changes perceived in the aeronautical industry. A central task is to emphasize the increase in air traffic flow management capacity to the present day, taking into account not only a wide range of methodologies but also equipment and/or tools already available in the aeronautical industry. The efficient use of these resources is crucial as the human capacity for work is limited and the actors involved in all processes related to air traffic flow management are increasingly overloaded and, as a result, operational safety could be compromised. The methodology used to answer and/or develop the issues listed above is based on the advantages promoted by the application of Markov Chain principles that enable the construction of a simplified model of a dynamic network that describes the air traffic flow behavior anticipating their changes and eventual measures that could better address the impact of increased demand. Through this model, the proposed concepts are shown to have potentials to optimize the air traffic flow management combined with the operation of the existing resources at each moment and the circumstances found in each TMA, using historical data from the air traffic operations and specificities found in the aeronautical industry, namely in the Portuguese context. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=air%20traffic%20flow" title="air traffic flow">air traffic flow</a>, <a href="https://publications.waset.org/abstracts/search?q=terminal%20maneuvering%20area" title=" terminal maneuvering area"> terminal maneuvering area</a>, <a href="https://publications.waset.org/abstracts/search?q=TMA" title=" TMA"> TMA</a>, <a href="https://publications.waset.org/abstracts/search?q=air%20traffic%20management" title=" air traffic management"> air traffic management</a>, <a href="https://publications.waset.org/abstracts/search?q=ATM" title=" ATM"> ATM</a>, <a href="https://publications.waset.org/abstracts/search?q=Markov%20chains" title=" Markov chains"> Markov chains</a> </p> <a href="https://publications.waset.org/abstracts/113066/dynamic-network-approach-to-air-traffic-management" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/113066.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">133</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">5223</span> The Effect of User Comments on Traffic Application Usage</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=I.%20Gokasar">I. Gokasar</a>, <a href="https://publications.waset.org/abstracts/search?q=G.%20Bakioglu"> G. Bakioglu</a> </p> <p class="card-text"><strong>Abstract:</strong></p> With the unprecedented rates of technological improvements, people start to solve their problems with the help of technological tools. According to application stores and websites in which people evaluate and comment on the traffic apps, there are more than 100 traffic applications which have different features with respect to their purpose of usage ranging from the features of traffic apps for public transit modes to the features of traffic apps for private cars. This study focuses on the top 30 traffic applications which were chosen with respect to their download counts. All data about the traffic applications were obtained from related websites. The purpose of this study is to analyze traffic applications in terms of their categorical attributes with the help of developing a regression model. The analysis results suggest that negative interpretations (e.g., being deficient) does not lead to lower star ratings of the applications. However, those negative interpretations result in a smaller increase in star rate. In addition, women use higher star rates than men for the evaluation of traffic applications. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=traffic%20app" title="traffic app">traffic app</a>, <a href="https://publications.waset.org/abstracts/search?q=real%E2%80%93time%20information" title=" real–time information"> real–time information</a>, <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=regression%20analysis" title=" regression analysis"> regression analysis</a>, <a href="https://publications.waset.org/abstracts/search?q=dummy%20variables" title=" dummy variables"> dummy variables</a> </p> <a href="https://publications.waset.org/abstracts/52331/the-effect-of-user-comments-on-traffic-application-usage" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/52331.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">429</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">5222</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">5221</span> Robust and Real-Time Traffic Counting System</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Hossam%20M.%20Moftah">Hossam M. Moftah</a>, <a href="https://publications.waset.org/abstracts/search?q=Aboul%20Ella%20Hassanien"> Aboul Ella Hassanien</a> </p> <p class="card-text"><strong>Abstract:</strong></p> In the recent years the importance of automatic traffic control has increased due to the traffic jams problem especially in big cities for signal control and efficient traffic management. Traffic counting as a kind of traffic control is important to know the road traffic density in real time. This paper presents a fast and robust traffic counting system using different image processing techniques. The proposed system is composed of the following four fundamental building phases: image acquisition, pre-processing, object detection, and finally counting the connected objects. The object detection phase is comprised of the following five steps: subtracting the background, converting the image to binary, closing gaps and connecting nearby blobs, image smoothing to remove noises and very small objects, and detecting the connected objects. Experimental results show the great success of the proposed approach. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=traffic%20counting" title="traffic counting">traffic counting</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=image%20processing" title=" image processing"> image processing</a>, <a href="https://publications.waset.org/abstracts/search?q=object%20detection" title=" object detection"> object detection</a>, <a href="https://publications.waset.org/abstracts/search?q=computer%20vision" title=" computer vision"> computer vision</a> </p> <a href="https://publications.waset.org/abstracts/43835/robust-and-real-time-traffic-counting-system" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/43835.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">294</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">5220</span> The Kidney-Spine Traffic System: Future Cities, Ensuring World Class Civic Amenities in Urban India</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Abhishek%20Srivastava">Abhishek Srivastava</a>, <a href="https://publications.waset.org/abstracts/search?q=Jeevesh%20Nandan"> Jeevesh Nandan</a>, <a href="https://publications.waset.org/abstracts/search?q=Manish%20Kumar"> Manish Kumar</a> </p> <p class="card-text"><strong>Abstract:</strong></p> The study was taken to analyse the alternative source of traffic system for effective and more convenient traffic flow by reducing points of conflicts as well as angle of conflict and keeping in view to minimize the problem of unnecessarily long waiting time, delays, congestion, traffic jam and geometric delays due to intersection between circular and straight lanes. It is a twin kidney-spine type structure system with special allowance for Highway users for quicker passes. Thus reduction in number and intensity of accidents, significance reduction in traffic jam, conservation of valuable time. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=traffic%20system" title="traffic system">traffic system</a>, <a href="https://publications.waset.org/abstracts/search?q=collision%20reduction%20of%20vehicles" title=" collision reduction of vehicles"> collision reduction of vehicles</a>, <a href="https://publications.waset.org/abstracts/search?q=smooth%20flow%20of%20vehicles" title=" smooth flow of vehicles"> smooth flow of vehicles</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/15808/the-kidney-spine-traffic-system-future-cities-ensuring-world-class-civic-amenities-in-urban-india" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/15808.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">426</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">5219</span> Impact of the Operation and Infrastructure Parameters to the Railway Track Capacity</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Martin%20Kendra">Martin Kendra</a>, <a href="https://publications.waset.org/abstracts/search?q=Jaroslav%20Ma%C5%A1ek"> Jaroslav Mašek</a>, <a href="https://publications.waset.org/abstracts/search?q=Juraj%20%C4%8Camaj"> Juraj Čamaj</a>, <a href="https://publications.waset.org/abstracts/search?q=Matej%20Babin"> Matej Babin</a> </p> <p class="card-text"><strong>Abstract:</strong></p> The railway transport is considered as a one of the most environmentally friendly mode of transport. With future prediction of increasing of freight transport there are lines facing problems with demanded capacity. Increase of the track capacity could be achieved by infrastructure constructive adjustments. The contribution shows how the travel time can be minimized and the track capacity increased by changing some of the basic infrastructure and operation parameters, for example, the minimal curve radius of the track, the number of tracks, or the usable track length at stations. Calculation of the necessary parameter changes is based on the fundamental physical laws applied to the train movement, and calculation of the occupation time is dependent on the changes of controlling the traffic between the stations. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=curve%20radius" title="curve radius">curve radius</a>, <a href="https://publications.waset.org/abstracts/search?q=maximum%20curve%20speed" title=" maximum curve speed"> maximum curve speed</a>, <a href="https://publications.waset.org/abstracts/search?q=track%20mass%20capacity" title=" track mass capacity"> track mass capacity</a>, <a href="https://publications.waset.org/abstracts/search?q=reconstruction" title=" reconstruction"> reconstruction</a> </p> <a href="https://publications.waset.org/abstracts/35579/impact-of-the-operation-and-infrastructure-parameters-to-the-railway-track-capacity" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/35579.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">334</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">5218</span> Automated Vehicle Traffic Control Tower: A Solution to Support the Next Level Automation</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Xiaoyun%20Zhao">Xiaoyun Zhao</a>, <a href="https://publications.waset.org/abstracts/search?q=Rami%20Darwish"> Rami Darwish</a>, <a href="https://publications.waset.org/abstracts/search?q=Anna%20Pernest%C3%A5l"> Anna Pernestål</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Automated vehicles (AVs) have the potential to enhance road capacity, improving road safety and traffic efficiency. Research and development on AVs have been going on for many years. However, when the complicated traffic rules and real situations interacted, AVs fail to make decisions on contradicting situations, and are not able to have control in all conditions due to highly dynamic driving scenarios. This limits AVs’ usage and restricts the full potential benefits that they can bring. Furthermore, regulations, infrastructure development, and public acceptance cannot keep up at the same pace as technology breakthroughs. Facing these challenges, this paper proposes automated vehicle traffic control tower (AVTCT) acting as a safe, efficient and integrated solution for AV control. It introduces a concept of AVTCT for control, management, decision-making, communication and interaction with various aspects in transportation. With the prototype demonstrations and simulations, AVTCT has the potential to overcome the control challenges with AVs and can facilitate AV reaching their full potential. Possible functionalities, benefits as well as challenges of AVTCT are discussed, which set the foundation for the conceptual model, simulation and real application of AVTCT. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=automated%20vehicle" title="automated vehicle">automated vehicle</a>, <a href="https://publications.waset.org/abstracts/search?q=connectivity%20and%20automation" title=" connectivity and automation"> connectivity and automation</a>, <a href="https://publications.waset.org/abstracts/search?q=intelligent%20transport%20system" title=" intelligent transport system"> intelligent transport system</a>, <a href="https://publications.waset.org/abstracts/search?q=traffic%20control" title=" traffic control"> traffic control</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/123189/automated-vehicle-traffic-control-tower-a-solution-to-support-the-next-level-automation" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/123189.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">138</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">5217</span> Design and Assessment of Traffic Management Strategies for Improved Mobility on Major Arterial Roads in Lahore City</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=N.%20Ali">N. Ali</a>, <a href="https://publications.waset.org/abstracts/search?q=S.%20Nakayama"> S. Nakayama</a>, <a href="https://publications.waset.org/abstracts/search?q=H.%20Yamaguchi"> H. Yamaguchi</a>, <a href="https://publications.waset.org/abstracts/search?q=M.%20Nadeem"> M. Nadeem</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Traffic congestion is a matter of prime concern in developing countries. This can be primarily attributed due to poor design practices and biased allocation of resources based on political will neglecting the technical feasibilities in infrastructure design. During the last decade, Lahore has expanded at an unprecedented rate as compared to surrounding cities due to more funding and resource allocation by the previous governments. As a result of this, people from surrounding cities and areas moved to the Lahore city for better opportunities and quality of life. This migration inflow inherited the city with an increased population yielding the inefficiency of the existing infrastructure to accommodate enhanced traffic demand. This leads to traffic congestion on major arterial roads of the city. In this simulation study, a major arterial road was selected to evaluate the performance of the five intersections by changing the geometry of the intersections or signal control type. Simulations were done in two software; Highway Capacity Software (HCS) and Synchro Studio and Sim Traffic Software. Some of the traffic management strategies that were employed include actuated-signal control, semi-actuated signal control, fixed-time signal control, and roundabout. The most feasible solution for each intersection in the above-mentioned traffic management techniques was selected with the least delay time (seconds) and improved Level of Service (LOS). The results showed that Jinnah Hospital Intersection and Akbar Chowk Intersection improved 92.97% and 92.67% in delay time reduction, respectively. These results can be used by traffic planners and policy makers for decision making for the expansion of these intersections keeping in mind the traffic demand in future years. <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=traffic%20simulation" title=" traffic simulation"> traffic simulation</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=congestion%20problems" title=" congestion problems"> congestion problems</a> </p> <a href="https://publications.waset.org/abstracts/115256/design-and-assessment-of-traffic-management-strategies-for-improved-mobility-on-major-arterial-roads-in-lahore-city" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/115256.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">470</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">5216</span> Closed Loop Traffic Control System Using PLC</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Chinmay%20Shah">Chinmay Shah</a> </p> <p class="card-text"><strong>Abstract:</strong></p> The project is all about development of a close loop traffic light control system using PLC (Programmable Logic Controller). This project is divided into two parts which are hardware and software. The hardware part for this project is a model of four way junction of a traffic light. Three indicator lamps (Red, Yellow and Green) are installed at each lane for represents as traffic light signal. This traffic control model is a replica of actuated traffic control. Actuated traffic control system is a close loop traffic control system which controls the timing of the indicator lamps depending on the fluidity of traffic for a particular lane. To make it autonomous, in each lane three IR sensors are placed which helps to sense the percentage of traffic present on any particular lane. The IR Sensors and Indicator lamps are connected to LG PLC XGB series. The PLC controls every signal which is coming from the inputs (IR Sensors) to software and display to the outputs (Indicator lamps). Default timing for the indicator lamps is 30 seconds for each lane. But depending on the percentage of traffic present, if the traffic is nearly 30-35%, green lamp will be on for 10 seconds, for 65-70% traffic it will be 20 seconds, for full 100% traffic it will be on for full 30 seconds. The software part that operates with LG PLC is “XG 5000” Programmer. Using this software, the ladder logic diagram is programmed to control the traffic light base on the flow chart. At the end of this project, the traffic light system is actuated successfully by PLC. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=close%20loop" title="close loop">close loop</a>, <a href="https://publications.waset.org/abstracts/search?q=IR%20sensor" title=" IR sensor"> IR sensor</a>, <a href="https://publications.waset.org/abstracts/search?q=PLC" title=" PLC"> PLC</a>, <a href="https://publications.waset.org/abstracts/search?q=light%20control%20system" title=" light control system "> light control system </a> </p> <a href="https://publications.waset.org/abstracts/13631/closed-loop-traffic-control-system-using-plc" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/13631.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">571</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">5215</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">5214</span> Distributed Actor System for Traffic Simulation</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Han%20Wang">Han Wang</a>, <a href="https://publications.waset.org/abstracts/search?q=Zhuoxian%20Dai"> Zhuoxian Dai</a>, <a href="https://publications.waset.org/abstracts/search?q=Zhe%20Zhu"> Zhe Zhu</a>, <a href="https://publications.waset.org/abstracts/search?q=Hui%20Zhang"> Hui Zhang</a>, <a href="https://publications.waset.org/abstracts/search?q=Zhenyu%20Zeng"> Zhenyu Zeng</a> </p> <p class="card-text"><strong>Abstract:</strong></p> In traditional microscopic traffic simulation, various approaches have been suggested to implement the single-agent behaviors about lane changing and intelligent driver model. However, when it comes to very large metropolitan areas, microscopic traffic simulation requires more resources and become time-consuming, then macroscopic traffic simulation aggregate trends of interests rather than individual vehicle traces. In this paper, we describe the architecture and implementation of the actor system of microscopic traffic simulation, which exploits the distributed architecture of modern-day cloud computing. The results demonstrate that our architecture achieves high-performance and outperforms all the other traditional microscopic software in all tasks. To the best of our knowledge, this the first system that enables single-agent behavior in macroscopic traffic simulation. We thus believe it contributes to a new type of system for traffic simulation, which could provide individual vehicle behaviors in microscopic traffic simulation. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=actor%20system" title="actor system">actor system</a>, <a href="https://publications.waset.org/abstracts/search?q=cloud%20computing" title=" cloud computing"> cloud computing</a>, <a href="https://publications.waset.org/abstracts/search?q=distributed%20system" title=" distributed system"> distributed system</a>, <a href="https://publications.waset.org/abstracts/search?q=traffic%20simulation" title=" traffic simulation"> traffic simulation</a> </p> <a href="https://publications.waset.org/abstracts/128664/distributed-actor-system-for-traffic-simulation" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/128664.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">192</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">5213</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">5212</span> Traffic Light Detection Using Image Segmentation</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Vaishnavi%20Shivde">Vaishnavi Shivde</a>, <a href="https://publications.waset.org/abstracts/search?q=Shrishti%20Sinha"> Shrishti Sinha</a>, <a href="https://publications.waset.org/abstracts/search?q=Trapti%20Mishra"> Trapti Mishra</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Traffic light detection from a moving vehicle is an important technology both for driver safety assistance functions as well as for autonomous driving in the city. This paper proposed a deep-learning-based trafﬁc light recognition method that consists of a pixel-wise image segmentation technique and a fully convolutional network i.e., UNET architecture. This paper has used a method for detecting the position and recognizing the state of the traffic lights in video sequences is presented and evaluated using Traffic Light Dataset which contains masked traffic light image data. The first stage is the detection, which is accomplished through image processing (image segmentation) techniques such as image cropping, color transformation, segmentation of possible traffic lights. The second stage is the recognition, which means identifying the color of the traffic light or knowing the state of traffic light which is achieved by using a Convolutional Neural Network (UNET architecture). <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=traffic%20light%20detection" title="traffic light detection">traffic light detection</a>, <a href="https://publications.waset.org/abstracts/search?q=image%20segmentation" title=" image segmentation"> image segmentation</a>, <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=classification" title=" classification"> classification</a>, <a href="https://publications.waset.org/abstracts/search?q=convolutional%20neural%20networks" title=" convolutional neural networks"> convolutional neural networks</a> </p> <a href="https://publications.waset.org/abstracts/137254/traffic-light-detection-using-image-segmentation" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/137254.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">173</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">5211</span> Density Based Traffic System Using Pic Microcontroller</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Tatipamula%20Samiksha%20Goud">Tatipamula Samiksha Goud</a>, <a href="https://publications.waset.org/abstracts/search?q=.A.Naveena">.A.Naveena</a>, <a href="https://publications.waset.org/abstracts/search?q=M.sresta"> M.sresta</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Traffic congestion is a major issue in many cities throughout the world, particularly in urban areas, and it is past time to switch from a fixed timer mode to an automated system. The current traffic signalling system is a fixed-time system that is inefficient if one lane is more functional than the others. A structure for an intelligent traffic control system is being designed to address this issue. When traffic density is higher on one side of a junction, the signal's green time is extended in comparison to the regular time. This study suggests a technique in which the signal's time duration is assigned based on the amount of traffic present at the time. Infrared sensors can be used to do this. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=infrared%20sensors" title="infrared sensors">infrared sensors</a>, <a href="https://publications.waset.org/abstracts/search?q=micro-controllers" title=" micro-controllers"> micro-controllers</a>, <a href="https://publications.waset.org/abstracts/search?q=LEDs" title=" LEDs"> LEDs</a>, <a href="https://publications.waset.org/abstracts/search?q=oscillators" title=" oscillators"> oscillators</a> </p> <a href="https://publications.waset.org/abstracts/152588/density-based-traffic-system-using-pic-microcontroller" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/152588.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">142</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">5210</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">5209</span> Enhanced Traffic Light Detection Method Using Geometry Information</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Changhwan%20Choi">Changhwan Choi</a>, <a href="https://publications.waset.org/abstracts/search?q=Yongwan%20Park"> Yongwan Park</a> </p> <p class="card-text"><strong>Abstract:</strong></p> In this paper, we propose a method that allows faster and more accurate detection of traffic lights by a vision sensor during driving, DGPS is used to obtain physical location of a traffic light, extract from the image information of the vision sensor only the traffic light area at this location and ascertain if the sign is in operation and determine its form. This method can solve the problem in existing research where low visibility at night or reflection under bright light makes it difficult to recognize the form of traffic light, thus making driving unstable. We compared our success rate of traffic light recognition in day and night road environments. Compared to previous researches, it showed similar performance during the day but 50% improvement at night. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=traffic%20light" title="traffic light">traffic light</a>, <a href="https://publications.waset.org/abstracts/search?q=intelligent%20vehicle" title=" intelligent vehicle"> intelligent vehicle</a>, <a href="https://publications.waset.org/abstracts/search?q=night" title=" night"> night</a>, <a href="https://publications.waset.org/abstracts/search?q=detection" title=" detection"> detection</a>, <a href="https://publications.waset.org/abstracts/search?q=DGPS" title=" DGPS"> DGPS</a> </p> <a href="https://publications.waset.org/abstracts/11840/enhanced-traffic-light-detection-method-using-geometry-information" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/11840.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">325</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=traffic%20capacity&page=2">2</a></li> <li class="page-item"><a class="page-link" href="https://publications.waset.org/abstracts/search?q=traffic%20capacity&page=3">3</a></li> <li class="page-item"><a class="page-link" href="https://publications.waset.org/abstracts/search?q=traffic%20capacity&page=4">4</a></li> <li class="page-item"><a class="page-link" href="https://publications.waset.org/abstracts/search?q=traffic%20capacity&page=5">5</a></li> <li class="page-item"><a class="page-link" href="https://publications.waset.org/abstracts/search?q=traffic%20capacity&page=6">6</a></li> <li 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