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城市交通信号三级模糊优化控制与仿真
引用本文:杨文臣,张轮,何兆成,朱敏.城市交通信号三级模糊优化控制与仿真[J].北京理工大学学报,2013,33(S1):177-181.
作者姓名:杨文臣  张轮  何兆成  朱敏
作者单位:同济大学 道路与交通工程教育部重点实验室, 上海 201804;同济大学 道路与交通工程教育部重点实验室, 上海 201804;中山大学工学院, 广东省智能交通重点实验室, 广东, 广州 510275;同济大学 道路与交通工程教育部重点实验室, 上海 201804
基金项目:国家自然科学基金资助项目(50408034);上海市创新基金资助项目(11ZZ27)
摘    要:针对多数交通信号模糊控制方法极少关注交通流的不确定性,提出一种城市交通信号三级模糊优化控制器及其Paramics仿真方法. 综合考虑交通需求强度、相位优化和延长时间决策等控制机理,提出三级模糊控制器的结构,并引入搭接相位设计相位优化的机制,遵循交通信号控制基本原则,提出三级模糊控制算法,最后,采用COM组件的混合编程技术构建三级模糊控制的Paramics仿真平台,并以深圳市黑点路口进行实验,在不同交通条件下对提出的模型进行效用评价;结果表明提出的控制器性能良好,在高强度的交通状况下性能稳定,控制效果符合交通管理者的控制目标,且具备快速响应交通流不确定性的能力.

关 键 词:智能交通  交通信号  三级模糊  相位优化
收稿时间:7/8/2013 12:00:00 AM

An Optimized Three-Stage Fuzzy Logic Controller and Its Simulation for Urban Traffic Signals
YANG Wen-chen,ZHANG Lun,HE Zhao-cheng and ZHU Min.An Optimized Three-Stage Fuzzy Logic Controller and Its Simulation for Urban Traffic Signals[J].Journal of Beijing Institute of Technology(Natural Science Edition),2013,33(S1):177-181.
Authors:YANG Wen-chen  ZHANG Lun  HE Zhao-cheng and ZHU Min
Institution:Key Laboratory of Road and Traffic Engineering, Ministry of Education, Tongji University, Shanghai 201804, China;Key Laboratory of Road and Traffic Engineering, Ministry of Education, Tongji University, Shanghai 201804, China;School of Engineering, Guangdong Provincial Key Laboratory of Intelligent Transportation System, Sun Yat-sen University, Guangzhou, Guangdong, 510275, China;Key Laboratory of Road and Traffic Engineering, Ministry of Education, Tongji University, Shanghai 201804, China
Abstract:An optimized three-stage fuzzy controller is presented for urban traffic signals (OTSFC) and its Paramics-based simulation. Based on the analysis of uncertainty of traffic flow, a three-stage fuzzy controller structure is proposed by taking traffic demand intensity, phase optimization, and extension time of current green phase into account. Then, overlap phase is introduced to design the mechanism of phase optimization, and a three fuzzy control algorithm is developed followed by the basic principles of traffic signal control. Finally, the COM-based hybrid programming is employed to develop Paramics-based simulation platform of the OTSFC. The proposed method is tested on a blackspot isolated intersection in Shenzhen under various traffic conditions. Simulation results have demonstrated the potential of the developed OTSFC in control performance and the rapid response ability to the uncertainty of traffic flow.
Keywords:intelligent transportation  traffic signal  three-stage fuzzy  phase optimization
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