基于机器视觉的灯时自适应模糊控制系统

Adaptive fuzzy control system for light⁃time based on machine vision

为充分发挥路口车辆通行效率,设计了一种基于机器视觉的灯时模糊控制器。该控制系统利用相机获取车辆图像信息,通过差分捕获算法提取实时车流量,将其输入模糊推理控制器,实现交通灯时长的自适应智能控制。仿真结果表明,与传统的定时灯时控制相比,模糊控制器在车流高峰期可有效降低车辆平均等待时间。

In order to give full play to the traffic efficiency at intersections,a kind of light⁃time fuzzy controller based on machine vision was designed.The control system uses the vehicle image information obtained by the camera,extracts the real⁃time traffic flow through the difference capture algorithm,inputs it into the fuzzy reasoning controller,and realizes the adaptive intelligent control of the traffic light length.The simulation results show that the fuzzy controller can effectively reduce the average vehicle waiting time in the rush hour compared with the traditional time⁃light control.