Research on Timing Optimization of Reginal Traffic Signals Based on Improved Genetic Algorithm

• Published in: IOP conference series. Materials Science and Engineering Vol. 423; no. 1; pp. 12191 - 12198
• Main Authors: Li, Zhide, Chen, Kaiquan
• Format: Journal Article
• Language: English
• Published: Bristol IOP Publishing 01.10.2018
• Subjects: Flow charts; Genetic algorithms; Optimization; Signal processing; Traffic congestion; Traffic control; Traffic flow; Traffic signals
• ISSN: 1757-8981; 1757-899X; 1757-899X
• DOI: 10.1088/1757-899X/423/1/012191

The problem of urban traffic congestion is becoming more and more serious. In recent years, the coordinated control of regional traffic signals has become a hot topic in the study of intelligent traffic control. For a long time, genetic algorithm is an important timing optimization method of regional traffic signals. The paper points out the advantages and disadvantages of genetic algorithm in the timing optimization scheme of regional traffic signal, explores the optimization scheme based on the improved genetic algorithm in regional traffic signal timing and draws the corresponding flow chart. In this paper, a four-intersection area is simulated to optimize the timing of reginal traffic signals by the means of genetic algorithm and improved genetic algorithm. Practice has proved that in the process of optimizing regional traffic signal timing, the improved genetic algorithm has a better performance in terms of convergence speed compared to genetic algorithm.