文章基本信息

标题：Research of Intersection Traffic Signal Control and Simulation Based on Fuzzy Logic
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作者：Chunxia. Zhu ; Tiying. Wang ; Jinsong. Li 等
期刊名称：IOP Conference Series: Earth and Environmental Science
印刷版ISSN：1755-1307
电子版ISSN：1755-1315
出版年度：2018
卷号：153
期号：3
页码：032055
DOI：10.1088/1755-1315/153/3/032055
语种：English
出版社：IOP Publishing
摘要：In order to improve the traffic signal control for urban road intersection and reduce vehicle delay, the paper took the typical urban crossing signal control system as the research object and proposed a control algorithm based on fuzzy logic. Considering the traffic flow information as well as the length of vehicles on different approaches, the average delay hours had been selected out as the performance index. By using the control algorithm to improve the traditional fixed cycle length time distribution method of the intersection, the paper successfully designed a signal control system to adapt to various traffic conditions. By using Matlab software to analyze the data and simulate the effect, the results showed that this algorithm significantly reduced the traffic delay, achieved good control effect, and enhanced the capacity of the intersection. It has proved that the utilization of the control algorithm is a practical and effective method for the intelligent urban traffic control.