Traffic Signal Control Method and Simulation Based on Traffic Density in Cooperative Vehicle Infrastructure System
Lin Xiao-hui
Abstract：In a cooperative vehicle infrastructure system ( CVIS) , the road site unit can get the information about the position and speed of vehicles , which provides opportunities and conditions for improving traffic signal control .A single intersection is taken as the research object in this paper .A traffic signal control method is proposed based on traffic density in the CVIS by means of induction control method .This algo-rithm can choose the direction of flow based on the biggest traffic density of the import lanes , and deter-mine entrance green time by the queue dissipation time .In order to verify the effectiveness of the algo-rithm, Humen-Liansheng intersection is taken as an example .Simulation models for the peak , flat peak, and low peak are built respectively by using the Vissim traffic simulation software .Analysis is also conduc-ted to evaluate the traffic signal control indexes for the proposed algorithm , the induction control method , and the fix control mode under the same traffic demand .These indexes include the average travel time , the average delay time , the average number of stops , and the average queue length .Results show that , com-pared with induction control method and the fixed control mode , all the traffic signal control indexes ob-tained by the proposed algorithm are obviously improved under different demands .
Keywords：intelligent transportation systemcooperative vehicle infrastructure systemsignal controlVissim traffic simulation
Publication Date：2014-01-01
Online Publishing Date：2025-08-15(First online date of this platform, not the publication date of the document)
Pages：6( 123-128 )