吉林大学学报(工学版) ›› 2012, Vol. 42 ›› Issue (增刊1): 170-174.

• 论文 • 上一篇    下一篇

基于混合优化模型的平面交叉口控制方法

王霄维1, 王殿海1,2, 江晟1, 金盛2   

  1. 1. 吉林大学 交通学院,长春 130022;
    2. 浙江大学 建筑工程学院,杭州 310058
  • 收稿日期:2012-05-04 出版日期:2012-09-01 发布日期:2012-09-01
  • 通讯作者: 王殿海(1962-),男,教授,博士生导师.研究方向:交通流理论,交通控制.E-mail:wangdianhai@sohu.com E-mail:wangdianhai@sohu.com
  • 作者简介:王霄维(1983-),男,博士研究生.研究方向:交通控制,交通流理论.E-mail:wxw10@mails.jlu.edu.cn
  • 基金资助:

    "863"国家高技术研究发展计划项目(2011AA110304).

Isolated intersection control based on hybrid optimization model

WANG Xiao-wei1, WANG Dian-hai1,2, JIANG Sheng1, JIN Sheng2   

  1. 1. College of Transportation, Jilin University, Changchun 130022, China;
    2. College of Civil Engineering and Architecture, Zhejiang University, Hangzhou 310058, China
  • Received:2012-05-04 Online:2012-09-01 Published:2012-09-01

摘要: 基于交叉口固有特性,建立了兼顾相位控制延误和排队长度两项优化目标的混合优化模型。在不改变交叉口固有相位相序的情况下,通过对周期时长和相位内有效绿灯时长的实时动态优化和配置,提高了交叉口的时空间资源利用率和运行效率。然后,应用遗传算法对混合优化模型进行了数值仿真。仿真结果表明:混合优化模型在约束条件下均可对处于不同交通需求、不同状态下交叉口的信号配时进行实时动态优化,并且优化后的周期时长和排队车辆数处于一种相对稳定状态,证明了模型的合理性和控制的有效性及稳定性。最后分别研究了不同交通需求下模型的控制特点,为今后模型的进一步改进提供了有效的依据。

关键词: 交通运输系统工程, 信号交叉口, 混合优化, 延误, 遗传算法, 交通仿真

Abstract: Based on the inherent characteristics of intersection,the hybrid optimization model was established through considering both phase control delay and queue length. Without changing conditions of the intersection inherent phase, cycle length and phase in the effective green time real time dynamic optimized and configured in order to advance utilization rate and operation efficiency of the intersection temporal and spatial resources. Then, genetic algorithm was used to achieve numerical simulation of hybrid optimization model. The analysis of the simulation results show that, hybrid optimization model can achieve the real-time dynamic optimization on different traffic demands and states of intersection signal timing under constraint condition, while the optimized cycle length and queue number are relatively stable. Those above prove the rationality of the model and the effectiveness and stability of control. Finally, characteristics of different traffic demand control models are studied, and the effective basis was provided for further improvement of the model.

Key words: engineering of communication and transportation system, signalized intersection, hybrid optimization, delay, genetic algorithm, traffic simulation

中图分类号: 

  • U121
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