摘要
基于模糊控制的智能控制技术,以降低车辆的平均延误为目标,提出了一种区域交叉口两级模糊控制模型。其中第一级为检测级,检测对应相位的紧迫度;第二级为决策级,决策是否发生相位转换。并且考虑到了正常和非正常两种交通状态,设计了相应的控制规则。仿真结果表明,与传统的定时控制相比,所设计的模糊控制规则能够有效减少车辆的平均等待时间,并提高了车辆的平均通行效率。
Based on the intelligent control technology of fuzzy control,a kind of two-stage fuzzy control model of regional intersection was proposed to reduce the average delay of vehicles.The first stage was the detection stage,which was used to detect the urgency of the corresponding phase.The second stage was decision level which was used to determine whether phase transitions occur.Normal and abnormal states were considered,and the corresponding control rules were designed.The simulation results showed that the fuzzy control rules could effectively reduce the average waiting time of vehicles and improve the average vehicle efficiency compared with traditional timing control.
作者
李雅婷
张彦军
Li Yating;Zhang Yanjun(College of Automation and Electronrc Engineer, Qingdao University of Science & Technology,Qingdao 266042 , China)
出处
《甘肃科学学报》
2017年第5期63-66,90,共5页
Journal of Gansu Sciences
关键词
模糊控制
信号灯
交通控制
仿真
Fuzzy control
Signal lamp
Traffic control
Simulation
