›› 2012, Vol. 42 ›› Issue (05): 1185-1190.

• 论文 • 上一篇    下一篇

路网交通状态平衡控制方法

祁宏生1, 王殿海1,2, 宋现敏2   

  1. 1. 浙江大学 建筑工程学院,杭州 310058;
    2. 吉林大学 交通学院,长春 130022
  • 收稿日期:2011-08-22 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:交通流理论和交通控制. E-mail:wangdianhai@sohu.com E-mail:wangdianhai@sohu.com
  • 基金资助:
    "863"国家高技术研究发展计划项目(2011AA110304).

Balanced control method for road network traffic state

QI Hong-sheng1, WANG Dian-hai1,2, SONG Xian-min2   

  1. 1. College of Civil Engineering and Architecture, Zhejiang University,Hangzhou 310058,China;
    2. College of Transportation,Jilin University, Changchun 130022,China
  • Received:2011-08-22 Online:2012-09-01 Published:2012-09-01

摘要: 为了降低路网的拥挤度,提出了路网交通状态平衡控制方法。以交叉口最大饱和度代表交叉口交通状态,以路网最大饱和度最小为目标建立了路网交通状态平衡控制双层规划模型。利用遗传算法求解该规划模型,优化算法可以同时优化信号周期和各相位绿信比。考虑到整体延误、交通状态以及各个交叉口的重要度,对平衡控制方法进行了改进。数值模拟结果表明,本文方法可以在一定程度上降低关键区域的拥挤度。

关键词: 交通运输系统工程, 交通状态, 用户平衡, 路网交通流, 遗传算法

Abstract: In order to alleviate the road network jam, a balanced control method was proposed for the road network state. The road intersection saturation degree was chosen as the traffic state index, a bi-level programming optimization model was built for the balanced control of the road network traffic state to minimize the maximal road network saturation degree. This optimization model was solved by the genetic algorithm to optimize the traffic signal cycle and its green-red split. The balanced control was improved by consideration of the delay index, traffic state, and the relative importance of each intersection. The numerical simulation results showed that the proposed method can effectively alleviate the traffic jam in the critical region.

Key words: engineering of communications and transportation system, traffic state, user balance, network traffic flow, genetic algorithm

中图分类号: 

  • U491
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