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平面交叉口信号控制多目标优化研究
引用本文:刘权富,陆百川,马庆禄,邓捷.平面交叉口信号控制多目标优化研究[J].交通科技与经济,2014(1):47-50.
作者姓名:刘权富  陆百川  马庆禄  邓捷
作者单位:[1]重庆交通大学交通运输学院,重庆400074 [2]重庆山地城市交通系统与安全实验室,重庆400074
基金项目:重庆市教委科学技术研究项目(KJ130423)
摘    要:从道路使用率、出行时间成本、环境保护三方面平衡交通效益出发,建立在饱和度约束下以通行能力、出行者平均延误、尾气排放量作为性能指标的平面交叉口信号控制多目标优化模型;模型可根据交通流状态的不同对控制目标有所侧重;最后运用遗传算法对模型进行优化。算例分析表明,该模型能较好的适应交通流状态的变化,可获得更好的交通控制效果。

关 键 词:交通工程  交通信号控制  多目标优化  信号配时参数  遗传算法

Traffic Signal Control Multi-Objective Optimization at Intersection
LIU Quan-fu,LU Bai-chuan,MA Qing-lu,DENG Jie.Traffic Signal Control Multi-Objective Optimization at Intersection[J].Technology & Economy in Areas of Communications,2014(1):47-50.
Authors:LIU Quan-fu  LU Bai-chuan  MA Qing-lu  DENG Jie
Institution:1. School of Traffic & Transportation, Chongqing Jiaotong University, Chongqing 400074, China; 2. Key Lab of Traffic System & Safety in Mountain Cities, Chongqing 400074, China)
Abstract:Based on using rate of the road, traveler time cost, environment protection comprehensive balance of traffic efficiency, the paper presents a multi-objective signal control optimization model with traffic capacity, traveler delay and exhaust emission as the optimization objectives, and saturation degree is taken as restrictions. The method can adjust the weight of performance indexes according to traffic flow state. The multi-objective model is solved by genetic algorithm. The result shows that the model can adapt the traffic flow state well and improve the traffic control effectively.
Keywords:traffic engineering  traffic signal control  multi-objective optimization  signal timing parameter  genetic algorithm
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