信号交叉口模糊逻辑自适应控制

Adaptive Fuzzy Control of Signalized Intersection

针对城市道路交叉口的智能交通信号控制,提出了一种主从式模糊逻辑自适应控制算法,该算法综合考虑了本相位最小绿灯时间结束时刻的路段车辆数和相邻相位的车辆排队长度,以及本相位非关键车流对关键车流的影响,采用两个规则前件进行主模糊控制器的模糊推理,设计了具有更多控制信息的两级模糊控制器。结合已有类似研究成果进行了仿真比较研究,结果表明:该控制算法在减少车辆延误方面有明显改进。

A principal and subordinate adaptive control algorithm is presented that based on fuzzy logic according to the signal control of intersection. The algorithm considers the vehicle queues of the controlled phase when the minimal green time end and the relative neighboring phases. It also considers the influence between the primary and secondly vehicle flow. The principal controller does fuzzy reasoning by two preconditions. The two layer fuzzy controller is designed which contain more control information. Compared with the similar results in references, simulation research shows that the fuzzy controller can decrease the average vehicle delay evi-dently.