华南理工大学学报(自然科学版) ›› 2011, Vol. 39 ›› Issue (3): 107-113.doi: 10.3969/j.issn.1000-565X.2011.03.021

• 交通与运输工程 • 上一篇    下一篇

基于路段流量相关性的检测器优化布设

王殿海1,2 徐程1 祁宏生1 金盛2   

  1. 1.吉林大学 交通学院,吉林 长春 130022;2.浙江大学 建筑工程学院,浙江 杭州 310058
  • 收稿日期:2010-06-02 修回日期:2010-10-06 出版日期:2011-03-25 发布日期:2011-02-01
  • 通信作者: 王殿海(1962-),男,博士,教授,主要从事交通控制研究 E-mail:wangdianhai@sohu.tom
  • 作者简介:王殿海(1962-),男,博士,教授,主要从事交通控制研究
  • 基金资助:

    国家“973”计划项目(2006CB705505)

Optimal Arrangement of Detectors Based on Correlation of Link Flow

Wang Dian-hai1,2  Xu Cheng1  Qi Hong-sheng1  Jin Sheng2   

  1. 1.College of Traffic and Transportation,Jilin University,Changehun 130022,Jilin,China;2.College of Civil Engineering and Architecture,Zhejiang University,Hangzhou 310058,Zhejiang,China
  • Received:2010-06-02 Revised:2010-10-06 Online:2011-03-25 Published:2011-02-01
  • Contact: 王殿海(1962-),男,博士,教授,主要从事交通控制研究 E-mail:wangdianhai@sohu.tom
  • About author:王殿海(1962-),男,博士,教授,主要从事交通控制研究
  • Supported by:

    国家“973”计划项目(2006CB705505)

摘要: 根据路网中路段间流量的相关性,提出了一种路网交通检测器优化布设方法.通过路径-路段发生矩阵得到关键路段数量,并分析了网络规模、网络连通性、OD对数量及路径数量对关键路段数的影响;综合考虑路径覆盖率、道路等级、道路长度以及配套设施等因素,建立了最优关键路段组选择的多目标优化模型;提出了通过线性组合由关键路段流量推算其他路段流量的方法.在典型Nguyen-Dupuis网络上的验证表明,该方法具有较强的实用价值.

关键词: 检测器优化布设, 流量相关性, 关键路段, 多目标优化

Abstract:

Proposed in this paper is an optimal arrangement method of traffic flow detectors based on the correlation of link flow in the road network.In the investigation,first,the number of key links is determined by using the link-path incidence matrix and its dependence on the network scale,the network connectivity,the number of OD pairs and the path number is analyzed.Then,by taking into consideration such factors as path coverage,road grade,road length and road facilities,a multi-objective optimization model for the selection of key links is set up,and a method determining the non-key link flow through the linear combination of key link flow is proposed.Experimental results on Nguyen-Dupuis network show that the proposed method is of good practicability.

Key words: optimal counting location, correlation of flows, key link, multi-optimization