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双交叉口两级模糊协调控制算法的研究
引用本文:杨立才,贾磊,王红.双交叉口两级模糊协调控制算法的研究[J].系统工程理论与实践,2005,25(6):33-38.
作者姓名:杨立才  贾磊  王红
作者单位:山东大学控制科学与工程学院
基金项目:山东省中青年科学家发展基金(031BS147),山东省科技攻关计划(031080112)
摘    要:基于城市交通智能控制研究课题的需要,提出了一种双交叉口的分级模糊协调控制算法和应用混沌优化自动调整隶属度函数的思想,依此设计了双交叉口的两级模糊协调控制器;应用MATLAB编写了仿真程序,对主次干道车流量相差悬殊和相近两种情况进行了实例仿真,并与传统控制算法进行了比较.仿真结果表明,分级模糊协调控制方法可以有效减少有主次干道之分的交叉口车辆的平均延误,对交通流量均衡的交叉口的控制效果,也比传统算法有显著提高.

关 键 词:交通信号控制  分级协调控制算法  模糊推理  混沌优化  智能交通系统    
文章编号:1000-6788(2005)06-0033-06
修稿时间:2004年5月31日

Study of Two-Stage Fuzzy Control Algorithms about Adjacent Traffic Intersections
YANG Li-cai,JIA Lei,WANG Hong.Study of Two-Stage Fuzzy Control Algorithms about Adjacent Traffic Intersections[J].Systems Engineering —Theory & Practice,2005,25(6):33-38.
Authors:YANG Li-cai  JIA Lei  WANG Hong
Affiliation:School of Control Science & Engineering,Shandong University
Abstract:Based on the project of urban traffic intelligent control, we propose a traffic coordination control algorithm for two adjacent intersections using hierarchical fuzzy logic and the idea of adjusting membership functions automatically using chaos optimization. The two-stage fuzzy controller with this algorithm is designed and the program to simulate the algorithm is developed via MATLAB. Two traffic conditions, flow of dominate road being much different from that of subordinate road and flow of dominating road being less different from that of subordinate road, are simulated. Simulation results show that the average delay of vehicles in intersections is lessened using algorithm given in this paper than that using the conventional control strategies.
Keywords:traffic signal control  control algorithm coordination  fuzzy logical  chaos optimization  intelligent transportation systems
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