基于模糊控制在城市交通信号控制中的应用,以减少交叉口的车辆延误时间、排队长度和行程时间等为目标,提出一种实用的单交叉口多级模糊控制模型。介绍交叉口基本概况并且提出基本主相位和分相位的概念,在此基础上建立了多级的模糊控制模型。控制器第1级为主相相序优化层;第2级为分相相序优化层;第3级为绿灯时间优化层,实现信号周期时长、绿信比和相序3个信号配时参数同时优化。最后,利用Visual Studio6.0和MATLAB软件开发了交叉口的微观仿真系统。仿真结果表明,与传统的定时控制和普通的模糊控制相比较,所提出的多级模糊控制模型具有相对较好的控制效果。
According to the application of fuzzy control in urban traffic signal control, for the purpose of reducing delay time, queue length and travel time of vehicles at intersection, a practical single intersection multi-level fuzzy control model is proposed. It introduced basic situation of intersection and proposed the concepts of main phase and branch phase. On this basis, a multi-level fuzzy control model is established. The controller is divided into three parts: the first one is used for optimizing the main phase sequence; the second one is used for optimizing branch phase sequence; the last one is used for optimizing green time, thus, the parameters of cycle time, green split and phase sequence are optimized at the same time. Finally, in combination with Visual Studio 6. 0 and MATLAB software, an intersection microscopic simulation system is developed. The simulation result shows that compared with traditional fixed-time control and ordinary fuzzy control, the proposed multi-level fuzzy control model has relatively good control effect.