一种基于模糊控制的信号灯自动配时算法

交通信号协调控制对于缓解交通拥堵、减少交通事故、提高城市智能化建设具有重要的意义。本文针对城市交叉口信号灯的配时问题,提出了一种基于模糊控制的自动配时方法。以绿灯延时为决策目标,以绿灯方向和红灯方向的车流量为输入变量,并借助Matlab实现了该模糊系统的动态仿真。实验结果验证了所提出的模糊控制自动配时方法可以有效的减少车辆的平均延误时间,达到缓解交通拥堵的目的。

A Signal Lights Automatic Timing Algorithm Based on Fuzzy Control

Traffic signal coordination control is of great significance for alleviating traffic congestion, reducing traffic accidents and improving urban intelligent construction. Aiming at the timing setting problem of signal lights at urban intersections, this paper proposes an automatic time setting method based on fuzzy control. This paper takes the green light delay as the decision-making objective, takes the traffic flow of the green light direction and the red light direction as the input variables, and uses the Matlab to realize the dynamic simulation of the fuzzy system. The experimental results show that the proposed fuzzy control method can reduce the average delay time of vehicles and alleviate the traffic congestion effectively.