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Search results for: traffic modelling
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text-center" style="font-size:1.6rem;">Search results for: traffic modelling</h1> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">2928</span> On Flow Consolidation Modelling in Urban Congested Areas</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Serban%20Stere">Serban Stere</a>, <a href="https://publications.waset.org/abstracts/search?q=Stefan%20Burciu"> Stefan Burciu</a> </p> <p class="card-text"><strong>Abstract:</strong></p> The challenging and continuously growing competition in the urban freight transport market emphasizes the need for optimal planning of transportation processes in terms of identifying the solution of consolidating traffic flows in congested urban areas. The aim of the present paper is to present the mathematical framework and propose a methodology of combining urban traffic flows between the distribution centers located at the boundary of a congested urban area. The three scenarios regarding traffic flow between consolidation centers that are taken into consideration in the paper are based on the same characteristics of traffic flows. The scenarios differ in terms of the accessibility of the four consolidation centers given by the infrastructure, the connections between them, and the possibility of consolidating traffic flows for one or multiple destinations. Also, synthetical indicators will allow us to compare the scenarios considered and chose the indicated for our distribution system. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=distribution%20system" title="distribution system">distribution system</a>, <a href="https://publications.waset.org/abstracts/search?q=single%20and%20multiple%20destinations" title=" single and multiple destinations"> single and multiple destinations</a>, <a href="https://publications.waset.org/abstracts/search?q=urban%20consolidation%20centers" title=" urban consolidation centers"> urban consolidation centers</a>, <a href="https://publications.waset.org/abstracts/search?q=traffic%20flow%20consolidation%20schemes" title=" traffic flow consolidation schemes"> traffic flow consolidation schemes</a> </p> <a href="https://publications.waset.org/abstracts/136236/on-flow-consolidation-modelling-in-urban-congested-areas" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/136236.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">156</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">2927</span> The Comparison between Modelled and Measured Nitrogen Dioxide Concentrations in Cold and Warm Seasons in Kaunas</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=A.%20Mi%C5%A1kinyt%C4%97">A. Miškinytė</a>, <a href="https://publications.waset.org/abstracts/search?q=A.%20D%C4%97del%C4%97"> A. Dėdelė</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Road traffic is one of the main sources of air pollution in urban areas associated with adverse effects on human health and environment. Nitrogen dioxide (NO2) is considered as traffic-related air pollutant, which concentrations tend to be higher near highways, along busy roads and in city centres and exceedances are mainly observed in air quality monitoring stations located close to traffic. Atmospheric dispersion models can be used to examine emissions from many various sources and to predict the concentration of pollutants emitted from these sources into the atmosphere. The study aim was to compare modelled concentrations of nitrogen dioxide using ADMS-Urban dispersion model with air quality monitoring network in cold and warm seasons in Kaunas city. Modelled average seasonal concentrations of nitrogen dioxide for 2011 year have been verified with automatic air quality monitoring data from two stations in the city. Traffic station is located near high traffic street in industrial district and background station far away from the main sources of nitrogen dioxide pollution. The modelling results showed that the highest nitrogen dioxide concentration was modelled and measured in station located near intensive traffic street, both in cold and warm seasons. Modelled and measured nitrogen dioxide concentration was respectively 25.7 and 25.2 µg/m3 in cold season and 15.5 and 17.7 µg/m3 in warm season. While the lowest modelled and measured NO2 concentration was determined in background monitoring station, respectively 12.2 and 13.3 µg/m3 in cold season and 6.1 and 7.6 µg/m3 in warm season. The difference between monitoring station located near high traffic street and background monitoring station showed that better agreement between modelled and measured NO2 concentration was observed at traffic monitoring station. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=air%20pollution" title="air pollution">air pollution</a>, <a href="https://publications.waset.org/abstracts/search?q=nitrogen%20dioxide" title=" nitrogen dioxide"> nitrogen dioxide</a>, <a href="https://publications.waset.org/abstracts/search?q=modelling" title=" modelling"> modelling</a>, <a href="https://publications.waset.org/abstracts/search?q=ADMS-Urban%20model" title=" ADMS-Urban model"> ADMS-Urban model</a> </p> <a href="https://publications.waset.org/abstracts/16108/the-comparison-between-modelled-and-measured-nitrogen-dioxide-concentrations-in-cold-and-warm-seasons-in-kaunas" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/16108.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">408</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">2926</span> Detecting Port Maritime Communities in Spain with Complex Network Analysis</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Nicanor%20Garcia%20Alvarez">Nicanor Garcia Alvarez</a>, <a href="https://publications.waset.org/abstracts/search?q=Belarmino%20Adenso-Diaz"> Belarmino Adenso-Diaz</a>, <a href="https://publications.waset.org/abstracts/search?q=Laura%20Calzada%20Infante"> Laura Calzada Infante</a> </p> <p class="card-text"><strong>Abstract:</strong></p> In recent years, researchers have shown an interest in modelling maritime traffic as a complex network. In this paper, we propose a bipartite weighted network to model maritime traffic and detect port maritime communities. The bipartite weighted network considers two different types of nodes. The first one represents Spanish ports, while the second one represents the countries with which there is major import/export activity. The flow among both types of nodes is modeled by weighting the volume of product transported. To illustrate the model, the data is segmented by each type of traffic. This will allow fine tuning and the creation of communities for each type of traffic and therefore finding similar ports for a specific type of traffic, which will provide decision-makers with tools to search for alliances or identify their competitors. The traffic with the greatest impact on the Spanish gross domestic product is selected, and the evolution of the communities formed by the most important ports and their differences between 2019 and 2009 will be analyzed. Finally, the set of communities formed by the ports of the Spanish port system will be inspected to determine global similarities between them, analyzing the sum of the membership of the different ports in communities formed for each type of traffic in particular. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=bipartite%20networks" title="bipartite networks">bipartite networks</a>, <a href="https://publications.waset.org/abstracts/search?q=competition" title=" competition"> competition</a>, <a href="https://publications.waset.org/abstracts/search?q=infomap" title=" infomap"> infomap</a>, <a href="https://publications.waset.org/abstracts/search?q=maritime%20traffic" title=" maritime traffic"> maritime traffic</a>, <a href="https://publications.waset.org/abstracts/search?q=port%20communities" title=" port communities"> port communities</a> </p> <a href="https://publications.waset.org/abstracts/128267/detecting-port-maritime-communities-in-spain-with-complex-network-analysis" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/128267.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">148</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">2925</span> Feasibility Study of Distributed Lightless Intersection Control with Level 1 Autonomous Vehicles</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Bo%20Yang">Bo Yang</a>, <a href="https://publications.waset.org/abstracts/search?q=Christopher%20Monterola"> Christopher Monterola</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Urban intersection control without the use of the traffic light has the potential to vastly improve the efficiency of the urban traffic flow. For most proposals in the literature, such lightless intersection control depends on the mass market commercialization of highly intelligent autonomous vehicles (AV), which limits the prospects of near future implementation. We present an efficient lightless intersection traffic control scheme that only requires Level 1 AV as defined by NHTSA. The technological barriers of such lightless intersection control are thus very low. Our algorithm can also accommodate a mixture of AVs and conventional vehicles. We also carry out large scale numerical analysis to illustrate the feasibility, safety and robustness, comfort level, and control efficiency of our intersection control scheme. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=intersection%20control" title="intersection control">intersection control</a>, <a href="https://publications.waset.org/abstracts/search?q=autonomous%20vehicles" title=" autonomous vehicles"> autonomous vehicles</a>, <a href="https://publications.waset.org/abstracts/search?q=traffic%20modelling" title=" traffic modelling"> traffic modelling</a>, <a href="https://publications.waset.org/abstracts/search?q=intelligent%20transport%20system" title=" intelligent transport system"> intelligent transport system</a> </p> <a href="https://publications.waset.org/abstracts/52464/feasibility-study-of-distributed-lightless-intersection-control-with-level-1-autonomous-vehicles" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/52464.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">455</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">2924</span> Empirical Study and Modelling of Three-Dimensional Pedestrian Flow in Railway Foot-Over-Bridge Stair</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Ujjal%20Chattaraj">Ujjal Chattaraj</a>, <a href="https://publications.waset.org/abstracts/search?q=M.%20Raviteja"> M. Raviteja</a>, <a href="https://publications.waset.org/abstracts/search?q=Chaitanya%20Aemala"> Chaitanya Aemala</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Over the years vehicular traffic has been given priority over pedestrian traffic. With the increase of population in cities, pedestrian traffic is increasing day by day. Pedestrian safety has become a matter of concern for the Traffic Engineers. Pedestrian comfort is primary important for the Engineers who design different pedestrian facilities. Pedestrian comfort and safety can be measured in terms of different level of service (LOS) of the facilities. In this study video data on pedestrian movement have been collected from different railway foot over bridges (FOB) in India. The level of service of those facilities has been analyzed. A cellular automata based model has been formulated to mimic the route choice behaviour of the pedestrians on the foot over bridges. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=cellular%20automata%20model" title="cellular automata model">cellular automata model</a>, <a href="https://publications.waset.org/abstracts/search?q=foot%20over%20bridge" title=" foot over bridge"> foot over bridge</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=pedestrian" title=" pedestrian"> pedestrian</a> </p> <a href="https://publications.waset.org/abstracts/54466/empirical-study-and-modelling-of-three-dimensional-pedestrian-flow-in-railway-foot-over-bridge-stair" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/54466.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">264</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">2923</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">2922</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">2921</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">2920</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">2919</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">2918</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">2917</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">2916</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">2915</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">2914</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">2913</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">2912</span> Effect of On-Road Vehicular Traffic on Noise Pollution in Bhubaneswar City, Eastern India</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Dudam%20Bharath%20Kumar">Dudam Bharath Kumar</a>, <a href="https://publications.waset.org/abstracts/search?q=Harsh%20Kumar"> Harsh Kumar</a>, <a href="https://publications.waset.org/abstracts/search?q=Naveed%20Ahmed"> Naveed Ahmed</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Vehicular traffic on the road-side plays a significant role in affecting the noise pollution in most of the cities over the world. To assess the correlation of the road-traffic on noise pollution in the city environment, continuous measurements were carried out in an entire daytime starting from 8:00 AM IST to 6:00 PM IST at a single point for each 5 minutes (8:00-8:05, 9:00-9:05, 10:00-10:05 AM, ...) near the KIIT University campus road. Noise levels were observed using a mobile operated app of android cell phone and a handheld noise meter. Calibration analysis shows high correlation about 0.89 for the study location for the day time period. Results show diurnal variability of atmospheric noise pollution levels go hand-in and with the vehicular number which pass through a point of observation. The range of noise pollution levels in the daytime period is observed as 55 to 75 dB(A). As a day starts, sudden upsurge of noise levels is observed from 65 to 71 dB(A) in the early morning, 64 dB(A) in late morning, regains the same quantity 68-71 dB(A) in the afternoon, and rises 70 dB(A) in the early evening. Vehicular number of the corresponding noise levels exhibits 115-120, 150-160, and 140-160, respectively. However, this preliminary study suggests the importance of vehicular traffic on noise pollution levels in the urban environment and further to study population exposed to noise levels. Innovative approaches help curb the noise pollution through modelling the traffic noise pollution spatially and temporally over the city environments. <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=vehicular%20traffic" title=" vehicular traffic"> vehicular traffic</a>, <a href="https://publications.waset.org/abstracts/search?q=urban%20environment" title=" urban environment"> urban environment</a>, <a href="https://publications.waset.org/abstracts/search?q=noise%20meter" title=" noise meter"> noise meter</a> </p> <a href="https://publications.waset.org/abstracts/85094/effect-of-on-road-vehicular-traffic-on-noise-pollution-in-bhubaneswar-city-eastern-india" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/85094.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">297</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">2911</span> Public Transport Assignment at Adama City</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Selamawit%20Mulubrhan%20Gidey">Selamawit Mulubrhan Gidey</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Adama city, having an area of 29.86 km2, is one of the main cities in Ethiopia experiencing rapid growth in business and construction activities which in turn with an increasing number of vehicles at an alarming rate. For this reason, currently, there is an attempt to develop public transport assignment modeling in the city. Still, there is a huge gap in developing public transport assignments along the road segments of the city with operational and safety performance due to high traffic volume. Thus, the introduction of public transport assignment modeling in Adama City can have a massive impact on the road safety and capacity problem in the city. City transport modeling is important in city transportation planning, particularly in overcoming existing transportation problems such as traffic congestion. In this study, the Adama City transportation model was developed using the PTV VISUM software, whose transportation modeling is based on the four-step model of transportation. Based on the traffic volume data fed and simulated, the result of the study shows that the developed model has better reliability in representing the traffic congestion conditions in Adama city, and the simulation clearly indicates the level of congestion of each route selected and thus, the city road administrative office can take managerial decisions on public transport assignment so as to overcome traffic congestion executed along the selected routes. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=trip%20modelling" title="trip modelling">trip modelling</a>, <a href="https://publications.waset.org/abstracts/search?q=PTV%20VISUM" title=" PTV VISUM"> PTV VISUM</a>, <a href="https://publications.waset.org/abstracts/search?q=public%20transport%20assignment" title=" public transport assignment"> public transport assignment</a>, <a href="https://publications.waset.org/abstracts/search?q=congestion" title=" congestion"> congestion</a> </p> <a href="https://publications.waset.org/abstracts/187078/public-transport-assignment-at-adama-city" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/187078.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">43</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">2910</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">2909</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">2908</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> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">2907</span> Evaluation of Traffic Noise Around Different Facilities Located in Silent Zones</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Khaled%20Shaaban">Khaled Shaaban</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Schools and hospitals are supposed to be located in silent zones. In these areas, it is expected to maintain low noise levels in order to promote a peaceful environment for studying or recovering. However, many of these facilities are located in urban areas and are subject to high levels of noise. In this study, an evaluation of traffic noise around schools and hospitals was conducted during different periods of the day. The results indicated that the noise is positively correlated with the traffic volume around these facilities. Locations with higher traffic volumes tend to have higher noise levels. The results also showed that the noise levels exceed the recommended values by the World Health Organization. Several solutions were suggested as potential courses of action to decrease the excessive level of noise around these facilities. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=traffic%20noise" title="traffic noise">traffic noise</a>, <a href="https://publications.waset.org/abstracts/search?q=road%20traffic" title=" road traffic"> road traffic</a>, <a href="https://publications.waset.org/abstracts/search?q=noise%20levels" title=" noise levels"> noise levels</a>, <a href="https://publications.waset.org/abstracts/search?q=traffic%20volume" title=" traffic volume"> traffic volume</a> </p> <a href="https://publications.waset.org/abstracts/163737/evaluation-of-traffic-noise-around-different-facilities-located-in-silent-zones" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/163737.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">100</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">2906</span> Effectiveness of ATMS (Advanced Transport Management Systems) in Asuncion, Paraguay</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Sung%20Ho%20Oh">Sung Ho Oh</a> </p> <p class="card-text"><strong>Abstract:</strong></p> The advanced traffic lights, the system of traffic information collection and provision, the CCTVs for traffic control, and the traffic information center were installed in Asuncion, capital of Paraguay. After pre-post comparison of the installation, significant changes were found. Even though the traffic volumes were increased, travel speed was higher, so that travel time from origin to destination was decreased. the saving values for travel time, gas cost, and environmental cost are about 47 million US dollars per year. Satisfaction survey results for the installation were presented with statistical significance analysis. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=advanced%20transport%20management%20systems" title="advanced transport management systems">advanced transport management systems</a>, <a href="https://publications.waset.org/abstracts/search?q=effectiveness" title=" effectiveness"> effectiveness</a>, <a href="https://publications.waset.org/abstracts/search?q=Paraguay" title=" Paraguay"> Paraguay</a>, <a href="https://publications.waset.org/abstracts/search?q=traffic%20lights" title=" traffic lights"> traffic lights</a> </p> <a href="https://publications.waset.org/abstracts/44715/effectiveness-of-atms-advanced-transport-management-systems-in-asuncion-paraguay" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/44715.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">352</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">2905</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">148</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">2904</span> Urban Logistics Dynamics: A User-Centric Approach to Traffic Modelling and Kinetic Parameter Analysis</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Emilienne%20Lardy">Emilienne Lardy</a>, <a href="https://publications.waset.org/abstracts/search?q=Eric%20Ballot"> Eric Ballot</a>, <a href="https://publications.waset.org/abstracts/search?q=Mariam%20Lafkihi"> Mariam Lafkihi</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Efficient urban logistics requires a comprehensive understanding of traffic dynamics, particularly as it pertains to kinetic parameters influencing energy consumption and trip duration estimations. While real-time traffic information is increasingly accessible, current high-precision forecasting services embedded in route planning often function as opaque 'black boxes' for users. These services, typically relying on AI-processed counting data, fall short in accommodating open design parameters essential for management studies, notably within Supply Chain Management. This work revisits the modelling of traffic conditions in the context of city logistics, emphasizing its significance from the user’s point of view, with two focuses. Firstly, the focus is not on the vehicle flow but on the vehicles themselves and the impact of the traffic conditions on their driving behaviour. This means opening the range of studied indicators beyond vehicle speed, to describe extensively the kinetic and dynamic aspects of the driving behaviour. To achieve this, we leverage the Art. Kinema parameters are designed to characterize driving cycles. Secondly, this study examines how the driving context (i.e., exogenous factors to the traffic flow) determines the mentioned driving behaviour. Specifically, we explore how accurately the kinetic behaviour of a vehicle can be predicted based on a limited set of exogenous factors, such as time, day, road type, orientation, slope, and weather conditions. To answer this question, statistical analysis was conducted on real-world driving data, which includes high-frequency measurements of vehicle speed. A Factor Analysis and a Generalized Linear Model have been established to link kinetic parameters with independent categorical contextual variables. The results include an assessment of the adjustment quality and the robustness of the models, as well as an overview of the model’s outputs. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=factor%20analysis" title="factor analysis">factor analysis</a>, <a href="https://publications.waset.org/abstracts/search?q=generalised%20linear%20model" title=" generalised linear model"> generalised linear model</a>, <a href="https://publications.waset.org/abstracts/search?q=real%20world%20driving%20data" title=" real world driving data"> real world driving data</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=urban%20logistics" title=" urban logistics"> urban logistics</a>, <a href="https://publications.waset.org/abstracts/search?q=vehicle%20kinematics" title=" vehicle kinematics"> vehicle kinematics</a> </p> <a href="https://publications.waset.org/abstracts/179254/urban-logistics-dynamics-a-user-centric-approach-to-traffic-modelling-and-kinetic-parameter-analysis" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/179254.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">65</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">2903</span> Intelligent Ambulance with Advance Features of Traffic Management and Telecommunication</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Mamatha%20M.%20N.">Mamatha M. N.</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Traffic problems, congested traffic, and flow management were recognized as major problems mostly in all the areas, which have caused a problem for the ambulance which carries the emergency patient. The proposed paper aims in the development of ambulance which reaches the nearby hospital faster even in heavy traffic scenario. This process is activated by implementing hardware in an ambulance as well as in traffic post thus allowing a smooth flow to the ambulance to reach the hospital in time. 1) The design of the vehicle to have a communication between ambulance and traffic post. 2)Electronic Health Record with Data-acquisition system 3)Telemetry of acquired biological parameters to the nearest hospital. Thus interfacing all these three different modules and integrating them on the ambulance could reach the hospital earlier than the present ambulance. The system is accurate and efficient of 99.8%. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=bio-telemetry" title="bio-telemetry">bio-telemetry</a>, <a href="https://publications.waset.org/abstracts/search?q=data%20acquisition" title=" data acquisition"> data acquisition</a>, <a href="https://publications.waset.org/abstracts/search?q=patient%20database" title=" patient database"> patient database</a>, <a href="https://publications.waset.org/abstracts/search?q=automatic%20traffic%20control" title=" automatic traffic control"> automatic traffic control</a> </p> <a href="https://publications.waset.org/abstracts/51414/intelligent-ambulance-with-advance-features-of-traffic-management-and-telecommunication" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/51414.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">315</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">2902</span> Long-Term Modal Changes in International Traffic - Modelling Exercise</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Tomasz%20Komornicki">Tomasz Komornicki</a> </p> <p class="card-text"><strong>Abstract:</strong></p> The primary aim of the presentation is to try to model border traffic and, at the same time to explain on which economic variables the intensity of border traffic depended in the long term. For this purpose, long series of traffic data on the Polish borders were used. Models were estimated for three variants of explanatory variables: a) for total arrivals and departures (total movement of Poles and foreigners), b) for arrivals and departures of Poles, and c) for arrivals and departures of foreigners. Each of the defined explanatory variables in the models appeared as the logarithm of the natural number of persons. Data from 1994-2017 were used for modeling (for internal Schengen borders for the years 1994-2007). Information on the number of people arriving in and leaving Poland was collected for a total of 303 border crossings. On the basis of the analyses carried out, it was found that one of the main factors determining border traffic is generally differences in the level of economic development (GDP) and the condition of the economy (level of unemployment) and the degree of border permeability. Also statistically significant for border traffic are differences in the prices of goods (fuels, tobacco, and alcohol products) and services (mainly basic ones, e.g., hairdressing services). Such a relationship exists mainly on the eastern border (border traffic determined largely by differences in the prices of goods) and on the border with Germany (in the first analysed period, border traffic was determined mainly by the prices of goods, later - after Poland's accession to the EU and the Schengen area - also by the prices of services). The models also confirmed differences in the set of factors shaping the volume and structure of border traffic on the Polish borders resulting from general geopolitical conditions, with the year 2007 being an important caesura, after which the classical population mobility factors became visible. The results obtained were additionally related to changes in traffic that occurred as a result of the CPOVID-19 pandemic and as a result of the Russian aggression against Ukraine. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=border" title="border">border</a>, <a href="https://publications.waset.org/abstracts/search?q=modal%20structure" title=" modal structure"> modal structure</a>, <a href="https://publications.waset.org/abstracts/search?q=transport" title=" transport"> transport</a>, <a href="https://publications.waset.org/abstracts/search?q=Ukraine" title=" Ukraine"> Ukraine</a> </p> <a href="https://publications.waset.org/abstracts/162583/long-term-modal-changes-in-international-traffic-modelling-exercise" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/162583.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">115</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">2901</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">593</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">2900</span> A Study of Traffic Assignment Algorithms</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Abdelfetah%20Laouzai">Abdelfetah Laouzai</a>, <a href="https://publications.waset.org/abstracts/search?q=Rachid%20Ouafi"> Rachid Ouafi</a> </p> <p class="card-text"><strong>Abstract:</strong></p> In a traffic network, users usually choose their way so that it reduces their travel time between pairs origin-destination. This behavior might seem selfish as it produces congestions in different parts of the network. The traffic assignment problem (TAP) models the interactions between congestion and user travel decisions to obtain vehicles flows over each axis of the traffic network. The resolution methods of TAP serve as a tool allows predicting users’ distribution, identifying congesting points and affecting the travelers’ behavior in the choice of their route in the network following dynamic data. In this article, we will present a review about specific resolution approach of TAP. A comparative analysis is carried out on those approaches so that it highlights the characteristics, advantages and disadvantages of each. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=network%20traffic" title="network traffic">network traffic</a>, <a href="https://publications.waset.org/abstracts/search?q=travel%20decisions" title=" travel decisions"> travel decisions</a>, <a href="https://publications.waset.org/abstracts/search?q=approaches" title=" approaches"> approaches</a>, <a href="https://publications.waset.org/abstracts/search?q=traffic%20assignment" title=" traffic assignment"> traffic assignment</a>, <a href="https://publications.waset.org/abstracts/search?q=flows" title=" flows"> flows</a> </p> <a href="https://publications.waset.org/abstracts/37867/a-study-of-traffic-assignment-algorithms" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/37867.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">474</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">2899</span> Building Energy Modeling for Networks of Data Centers</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Eric%20Kumar">Eric Kumar</a>, <a href="https://publications.waset.org/abstracts/search?q=Erica%20Cochran"> Erica Cochran</a>, <a href="https://publications.waset.org/abstracts/search?q=Zhiang%20Zhang"> Zhiang Zhang</a>, <a href="https://publications.waset.org/abstracts/search?q=Wei%20Liang"> Wei Liang</a>, <a href="https://publications.waset.org/abstracts/search?q=Ronak%20Mody"> Ronak Mody</a> </p> <p class="card-text"><strong>Abstract:</strong></p> The objective of this article was to create a modelling framework that exposes the marginal costs of shifting workloads across geographically distributed data-centers. Geographical distribution of internet services helps to optimize their performance for localized end users with lowered communications times and increased availability. However, due to the geographical and temporal effects, the physical embodiments of a service's data center infrastructure can vary greatly. In this work, we first identify that the sources of variances in the physical infrastructure primarily stem from local weather conditions, specific user traffic profiles, energy sources, and the types of IT hardware available at the time of deployment. Second, we create a traffic simulator that indicates the IT load at each data-center in the set as an approximator for user traffic profiles. Third, we implement a framework that quantifies the global level energy demands using building energy models and the traffic profiles. The results of the model provide a time series of energy demands that can be used for further life cycle analysis of internet services. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=data-centers" title="data-centers">data-centers</a>, <a href="https://publications.waset.org/abstracts/search?q=energy" title=" energy"> energy</a>, <a href="https://publications.waset.org/abstracts/search?q=life%20cycle" title=" life cycle"> life cycle</a>, <a href="https://publications.waset.org/abstracts/search?q=network%20simulation" title=" network simulation"> network simulation</a> </p> <a href="https://publications.waset.org/abstracts/119973/building-energy-modeling-for-networks-of-data-centers" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/119973.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">147</span> </span> </div> </div> <ul class="pagination"> <li class="page-item disabled"><span class="page-link">‹</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%20modelling&page=2">2</a></li> <li class="page-item"><a class="page-link" href="https://publications.waset.org/abstracts/search?q=traffic%20modelling&page=3">3</a></li> <li class="page-item"><a class="page-link" href="https://publications.waset.org/abstracts/search?q=traffic%20modelling&page=4">4</a></li> <li class="page-item"><a class="page-link" href="https://publications.waset.org/abstracts/search?q=traffic%20modelling&page=5">5</a></li> <li class="page-item"><a class="page-link" href="https://publications.waset.org/abstracts/search?q=traffic%20modelling&page=6">6</a></li> <li class="page-item"><a class="page-link" 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