摘要
针对目前城市道路交通拥挤,堵车现象严重,传统定时方法不能自动调节信号灯的长短,提出了一种面向城域单交叉路口的自适应两级模糊控制系统,并采用遗传算法对两级模糊控制器中模糊隶属度函数进行优化调整。文中设计了,传统定时,经典模糊控制以及遗传算法优化后车辆平均延误时间的仿真,实验表明该法能有效降低通行车辆在交叉口的平均等待时间。
For the current urban road congestion, traffic jam is serious, conventional methods can not automatically adjust the signal timing of the length of an adaptive two-layer fuzzy control system for a single intersection in the metro, using genetic algorithms for two-layer fuzzy controller fuzzy membership functions to optimize the adjustment. This paper designed the traditional timing, classical fuzzy control and simulation of vehicles average time delay after genetic algorithms are optimized, experiments show that this method can effectively reduce vehicles average waiting time at the intersection.
出处
《辽宁工业大学学报(自然科学版)》
2015年第3期148-152,共5页
Journal of Liaoning University of Technology(Natural Science Edition)
关键词
智能交通
遗传算法
模糊控制
intelligent transportation
genetic algorithm
fuzzy control