INTELLIGENT OPTIMAL CONTROL of URBAN TRAFFIC LIGHTS BASED on FUZZY CONTROL

被引：0

作者：

Zhao Y.H. ^{[1
]}

Li R.X. ^{[1
]}

Li J. ^{[1
]}

机构：

[1] Hebei Jiaotong Vocational and Technical College, Shijiazhuang, Hebei

来源：

Telecommunications and Radio Engineering (English translation of Elektrosvyaz and Radiotekhnika) | 2020年 / 79卷 / 07期

关键词：

Delay time; Fuzzy control; Intelligent control; Traffic lights; Urban traffic;

D O I：

10.1615/TelecomRadEng.v79.i7.70

中图分类号：

学科分类号：

摘要：

Traffic congestion is an important problem of urban traffic. In this paper, the intelligent optimal control of traffic lights was studied. Firstly, the theory of traffic light control was introduced, then the principle and steps of fuzzy control were analyzed, the fuzzy control method of traffic lights was designed, and the simulation experiment was carried out in MATLAB environment. The results showed that the control effect of the method proposed in this study was good under different traffic flow, the average delay time was reduced by 22.58%, 22.65%, and 6.7%, respectively, and the average queue length was reduced by 35.19%, 31.63%, and 27.92%, respectively. The experimental results show that the proposed method is effective for the intelligent optimal control of traffic lights and has a role in easing traffic congestion, which is worth promotion and application. © 2020 Begell House Inc.. All rights reserved.

引用

页码：613 / 621

页数：8

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