2016International Journal of Signal Processing Image Processing and Pattern RecognitionRequires access

Study of Intersection Optimization Near Transportation Hub Based on VISSIM

Yali Yang, Guangpu Yang

Open publisher page 3 citations

Abstract

Traffic congestion is on the rise due to the continuing growth of urban areas, the increasing number of vehicles, and the increasing cost of building new roads. Therefore, it is necessary to explore creative and viable solutions to traffic problems at traffic intersections. On the basis of on-site traffic data collection, the traffic model was established,by taking both vehicle and pedestrian into consideration of intersection near Songjiang University Town Station transportation hub, using VISSIM. Simulation results showed that traffic congestion was higher in Meijiabang Rd (East to West) road section, which also had higher vehicle flow disorder and lane change pattern. Correspondently, intersection optimization were done in four aspects, including traffic signal green and red light timing adjusting, adding conflict area between straight and left-turn lanes, and road section movement. After optimization, traffic congestion was reduced in this intersection, which indicated the effectiveness of optimization on traffic management in this intersection.

About this research paper

What this paper is about

Traffic congestion is on the rise due to the continuing growth of urban areas, the increasing number of vehicles, and the increasing cost of building new roads. Therefore, it is necessary to explore creative and viable solutions to traffic problems at traffic intersections. On the basis of on-site traffic data collection, the traffic model was established,by taking both vehicle and pedestrian into consideration of intersection near Songjiang University Town Station transportation hub, using VISSIM. Simulation results showed that traffic congestion was higher in Meijiabang Rd (East to West) road section, which also had higher vehicle flow disorder and lane change pattern. Correspondently, intersection optimization were done in four aspects, including traffic signal green and red light timing adjusting, adding conflict area between straight and left-turn lanes, and road section movement. After optimization, traffic congestion was reduced in this intersection, which indicated the effectiveness of optimization on traffic management in this intersection.

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OpenAlex reports 3 citations for this work. Citation counts describe recorded attention and do not establish research quality.

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Available abstract

Traffic congestion is on the rise due to the continuing growth of urban areas, the increasing number of vehicles, and the increasing cost of building new roads. Therefore, it is necessary to explore creative and viable solutions to traffic problems at traffic intersections. On the basis of on-site traffic data collection, the traffic model was established,by taking both vehicle and pedestrian into consideration of intersection near Songjiang University Town Station transportation hub, using VISSIM. Simulation results showed that traffic congestion was higher in Meijiabang Rd (East to West) road section, which also had higher vehicle flow disorder and lane change pattern. Correspondently, intersection optimization were done in four aspects, including traffic signal green and red light timing adjusting, adding conflict area between straight and left-turn lanes, and road section movement. After optimization, traffic congestion was reduced in this intersection, which indicated the effectiveness of optimization on traffic management in this intersection.

Key concepts: VisSim, Intersection (aeronautics), Computer science, Transport engineering, Engineering

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