定周期单路口绿信比的迭代学习控制方法  

An Iterative Learning Control Arithmetic for Signal Intersection's Split

作　　者：周昊[1] 阮太元[2] 刘智勇[1,2] 

机构地区：[1]五邑大学信息工程学院,广东江门529020 [2]江门职业技术学院,广东江门529020

出　　处：《五邑大学学报（自然科学版）》2015年第4期57-61,共5页Journal of Wuyi University(Natural Science Edition)

摘　　要：为减少公路路口车辆的延误时间,提高交通干线的通行效率,本文利用迭代学习控制方法改善信号控制的效果.在设定初始交通参数后,以车辆排队长度为状态变量,以绿信比为控制学习律,经过迭代学习控制得到实际车辆排队长度和理想车辆排队长度的误差,再利用控制学习律对误差进行多次修正,使绿信比趋向于理想值.MATLAB仿真实验表明:在不同的交通负载情况下,迭代学习控制算法对交通信号绿信比的优化确实有明显的效果.In order to reduce the delay time and improve traffic efficiency, this paper adopts the iterative learning control method to improve the effect of signal control. After the initial traffic parameters are set, the vehicle queue length is set as a status variable and split as the learning control law, the error of the actual queue length to the ideal queue length is obtained by iterative learning control, the error is then corrected multiple times by means of control learning law and the split is near the ideal. MATLAB simulation experiments show that： in different traffic load situations, the iterative learning control algorithm has obvious effect on the optimization of traffic signal split.

关 键 词：干线协调控制 绿信比 迭代学习控制 排队长度 

分 类 号：U121[交通运输工程]