Based on Evolutionary Algorithm and Cellular Automata Combined Traffic Signal Control
Dynamic signal control is complex but important to develop a city intelligent transportation system, which is the best measure to solve the urban traffic jam problem all over the world. In this paper, the mathematical model of traffic signal control based on the classic BML models was introduced, then combines evolutionary algorithm with cellular automata simulation to calculate travel time and optimize signal setting plan. Iterative simulation and assignment procedure is built: Road is discredited by cellular automata. Traffic flow dynamics is represented by the combined model; Signal setting is optimized by evolutionary algorithm. The results of the simulation show that it is to be very promising and can meet the needs in the research and design of intelligent traffic system.
Intelligent Transportation System evolutionary algorithm cellular automata BML model
Xin Nie Yuanxiang Li Xiong Wei
State Key Laboratory of Software Engineering Wuhan University Wuhan, Hubei Province, China School of Computer Science and Technology Wuhan Textile University Wuhan, Hubei Province, China
国际会议
2010 Third International Symposium on Knowledge Acquisition and Modeling(第三届知识获取与建模国际研讨会 KAN 2010)
武汉
英文
285-288
2010-10-20(万方平台首次上网日期,不代表论文的发表时间)