摘要
针对城市固定相序的单路口多相位交通信号进行控制,本文设计了基于车流量预测的动态调整相位最大绿灯时间的模糊控制系统。综合考虑当前相位、后续相位的交通需求度,以此决定绿灯时间分配。通过模拟交通指挥者实际进行交通控制,实时根据各相位车辆的多少进行信号的智能控制。采用遗传算法对模糊隶属度函数进行优化调整,使隶属函数的选取更为合理,随交通状况的改变自适应地调整。仿真结果表明,该方法能有效降低通行车辆在交叉口的平均等待时间,明显优于传统控制方法,并且能更有效地处理随机性较大、不确定性较强的交通流。
This paper presents a fuzzy control system for an urban junction adopting fixed phase or- ders and multiphase. The traffic flows in the next cycle may be estimated, and the maximum time of green light is adjusted dynamically. Each phase time is determined according to traffic urgency degree of the current phase and the next phase. Through imitating the ways of traffic police managing the traffic, this signal control strategy has the ability of intelligently controlling the light signals according to the re- al traffic flow. Using genetic algorithm to modify fuzzy membership functions, the system can change its membership functions adaptively to an optimal setting in different traffic situations. A simulation experi- ment at intersection is performed and the performance is measured with average vehicle delays through the intersection. Simulations result shows that the fuzzy control system can effectively decrease the aver- age delay time in the intersection and is superior to the conventional method. The strategy can deal with more stochastic and more uncertain traffic flow.
出处
《计算机工程与科学》
CSCD
北大核心
2012年第11期158-162,共5页
Computer Engineering & Science
基金
山西省高校科技研究开发项目(20111126)
关键词
交通流
多相位
模糊控制
遗传算法
优化
traffic flow
multiphase
fuzzy control
genetic algorithm
optimization
