Optimal control for region of the city traffic signal base on Selective particle swarm optimization algorithm

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• 英文论文题名：Optimal control for region of the city traffic signal base on Selective particle swarm optimization algorithm
• 论文作者：Yong Zhang ; Hai-bo Zhu ; Xu-qiang Liu ; Xue-bo Chen
• 英文论文作者：Yong Zhang ; Hai-bo Zhu ; Xu-qiang Liu ; Xue-bo Chen ; School of Electronic and Information Engineering ; University of Science and Technology Liaoning
• 年：2017
• 作者机构：School of Electronic and Information Engineering,University of Science and Technology Liaoning;
• 英文论文关键词：Model of urban traffic control ; green ratio ; PSO based on natural selection ; regional transportation network
• 会议召开时间：2017-07-26
• 会议录名称：第36届中国控制会议论文集（B）
• 英文会议录名称：Proceedings of the 36th Chinese Control Conference（B）
• 语种：英文
• 分类号：TP18;U491.54
• 学会代码：KZLL
• 会议名称：第36届中国控制会议
• 会议地点：中国辽宁大连
• 主办单位：中国自动化学会控制理论专业委员会
• 学会名称：中国自动化学会控制理论专业委员会
• 页数：6
• 文件大小：225k
• 原文格式：D
• 会议级别：全国

摘要

Through the analysis for the current urban road network and the urban traffic control schemes,establish the model of the average of vehicle up-time in road network.Then,by use for reference thinking of natural selection of genetic algorithm improved the minimum value problem of particle swarm optimization algorithm.Hereafter, the model was optimized by the improved particle swarm optimization, and the solving result when the model is the minimum value is the optimal timing scheme of each intersection within the region.Finally,collecting traffic information through the regional road network consisting of four-way intersection near the school,and this data as the basis to build a four-way intersection area network in VISSIM5.20 software,and making simulation experiment of the comparison of the optimization model and traditional timing scheme by MATLAB software.The results of the analysis according to the simulation experimental shows that the average running time of all vehicle of region increase about 24.1 percent,and the average delay time of all Intersection reduce about 27.4 percent.In a certain extent,Improve the efficiency of regional transit traffic and ease urban traffic pressure,and has some applicability.
Through the analysis for the current urban road network and the urban traffic control schemes,establish the model of the average of vehicle up-time in road network.Then,by use for reference thinking of natural selection of genetic algorithm improved the minimum value problem of particle swarm optimization algorithm.Hereafter, the model was optimized by the improved particle swarm optimization, and the solving result when the model is the minimum value is the optimal timing scheme of each intersection within the region.Finally,collecting traffic information through the regional road network consisting of four-way intersection near the school,and this data as the basis to build a four-way intersection area network in VISSIM5.20 software,and making simulation experiment of the comparison of the optimization model and traditional timing scheme by MATLAB software.The results of the analysis according to the simulation experimental shows that the average running time of all vehicle of region increase about 24.1 percent,and the average delay time of all Intersection reduce about 27.4 percent.In a certain extent,Improve the efficiency of regional transit traffic and ease urban traffic pressure,and has some applicability.

引文

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