交通运输系统工程与信息 ›› 2016, Vol. 16 ›› Issue (3): 194-199.

• 系统工程理论与方法 • 上一篇    下一篇

基于最大流增流关键边的疏散逆向路段优化

高明霞*,洪娃艺,司倩倩   

  1. 兰州交通大学交通运输学院,兰州730070
  • 收稿日期:2015-11-09 修回日期:2015-12-21 出版日期:2016-06-25 发布日期:2016-06-27
  • 作者简介:高明霞(1979-),女,宁夏中卫人,副教授,博士.
  • 基金资助:

    教育部人文社科基金/Humanities and Social Science Fund of the Ministry of Education(12XJCZH002);国家自然科学基金/National Natural Science Foundation of China(61563028).

Optimization of Contra-flow Links in Traffic Evacuation Based on the Critical Edge for Improving Maximum Flow of a Network

GAO Ming-xia, HONGWa-yi, SI Qian-qian   

  1. School of Traffic and Transportation, Lanzhou Jiaotong University, Lanzhou 730070, China
  • Received:2015-11-09 Revised:2015-12-21 Online:2016-06-25 Published:2016-06-27

摘要:

逆向车道作为提高路网疏散通行能力的一种交通组织方法,已在疏散交通组织中得到了广泛应用.本文采用网络优化技术,研究疏散交通组织中逆向车道设置路段的选择问题.将道路网抽象为有向网络,给出网络最大流增流关键边的定义,通过寻找网络最大流增流关键边、次关键边等,确定路网中实行逆向车道管理的备选路段.在求解最大流问题的最大容量路算法基础上,给出了在有向网络中寻找最大流增流关键边的改进算法,通过一个数值算例进行分析,并对计算结果进行仿真验证.结果表明,在产生大量交通需求的大规模交通疏散中,通过对最大流增流关键边所对应路段进行逆向管理扩容,能够有效压缩疏散时间.

关键词: 城市交通, 逆向路段选择, 最大流增流关键边, 交通疏散, 改进算法

Abstract:

Contra- flow got effective application in traffic evacuation as a method of traffic organization. The problem of choosing contra-flow links in traffic evacuation is studied with network optimization technique. A road network is abstracted as a directed network, and the critical edge for increasing the maximum flow value of a network is defined, and alternative links for contra-flow can be got by searching critical and sub critical edges etc. for increasing the maximum flow value. A modified algorithm is presented to find such critical edges on the basis of the maximal capacity path algorithm for the maximum flow problem. A numerical example is given and the effects are tested through traffic simulation. The results show that evacuation time can be effectively decreased through increasing the capacity of critical links by contraflow in large-scale evacuation.

Key words: urban traffic, contra-flow links choice, critical edges for increasing the maximum flow value, traffic evacuation, modified algorithm

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