论文部分内容阅读
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 Studio 6.0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。
Based on the application of fuzzy control in urban traffic signal control, aiming at reducing the vehicle delay time, queuing length and travel time at intersection, a practical multi-level fuzzy control model of single-intersection is proposed. The basic situation of the intersection is introduced and the concepts of basic principal phase and subphase are proposed. On this basis, a multilevel fuzzy control model is established. The first stage of the controller is the main phase sequence optimization layer; the second stage is the phase separation phase sequence optimization layer; the third stage is the green time optimization layer, which realizes the signal timing duration, the green signal-to-noise ratio and the phase sequence three signal timing parameters Optimized at the same time. Finally, the microscopic simulation system of intersection was developed by using Visual Studio 6.0 and MATLAB software. The simulation results show that compared with the traditional timing control and ordinary fuzzy control, the proposed multi-level fuzzy control model has a relatively good control effect.