Adaptive Traffic Signal Control Based on Path Priority

Abstract:

in face of urban traffic congestion, the existing trafficcontrol system available today pursues rapid evacuation of vehicles at singleintersection and fails to take into account of the coordination between intersections,resulting in the worsening of urban traffic congestion. In order to solve theurban traffic congestion problem, an adaptive control based on the priority ofthe city path is proposed based on the PageRank priority model, a bettersolution to the traffic congestion of the city. In this strategy, the aim is tominimize the queue length of vehicles in urban road network. The releasepriority of each section is calculated based on the PageRank model. For asingle intersection point of control, the vehicle traffic volume is optimizedby the Maximum Clique Problem theory. The experiment takes 19 intersections inDalian as examples and is carried out on the VISSIM traffic simulation platform.The simulation results show that the adaptive control based on the pathpriority has good effect on reducing urban traffic congestion and evacuating vehicles.

• Periodical: Applied Mechanics and Materials (Volumes 727-728)
• Pages: 675-682
• DOI: https://doi.org/10.4028/www.scientific.net/AMM.727-728.675
• Online since: January 2015
• Authors: Jian Wei Zhang*, Guo Zhen Tan, Nan Ding, Ming Jian Liu
• Keywords: Adaptive Control, Intersection Signal Scheduling, Optimal Phase Control, Traffic Congestion

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