Based on Evolutionary Algorithm and Cellular Automata Combined Traffic Signal Control

摘要：

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.

关键词： Intelligent Transportation System evolutionary algorithm cellular automata BML model

作者: Xin Nie Yuanxiang Li Xiong Wei

作者单位: 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

会议类型: 国际会议

会议名称: 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)

会议地点: 武汉

会议语种:英文

页码: 285-288

在线出版日期: 2010-10-20（万方平台首次上网日期，不代表论文的发表时间）