交通运输系统工程与信息 ›› 2016, Vol. 16 ›› Issue (1): 105-110.

• 系统工程理论与方法 • 上一篇    下一篇

基于局部路网交通流重分配的路段关键度计算

张建旭*,蒋燕   

  1. 重庆交通大学交通运输学院,重庆400074
  • 收稿日期:2015-08-07 修回日期:2015-11-10 出版日期:2016-02-25 发布日期:2016-02-25
  • 作者简介:张建旭(1979.08-),男,副教授,博士.
  • 基金资助:

    国家自然科学基金资助项目/National Natural Science Foundation of China(51308569).

Criticality Calculation of Road Links Based on Local Network Traffic Flow Redistribution

ZHANG Jian-xu,JIANG Yan   

  1. School of Traffic & Transportation, Chongqing Jiaotong University, Chongqing 400074, China)
  • Received:2015-08-07 Revised:2015-11-10 Online:2016-02-25 Published:2016-02-25

摘要:

以路段失效影响范围界定为研究基础,将路段关键度计算从路段薄弱性和重 要性两方面进行量化:路段薄弱性以路段失效情况下,计算路段失效概率来确定;路段重 要性评价,通过对失效路段后交通网络重构,将局域节点OD对在路段失效影响范围局部 路网结构上重分配,以出行者时间费用变化影响指标F(U fa) ,局部路网路段交通负荷变化 影响指标F(S fa) 两方面作为评价指标来计算路段重要度.该方法符合路段失效后路网的 变化情况,有效避免了目前时变性的OD数据难以获取的问题,解决了现有评价指标选取 时的单一性问题.经过实验证明,该算法能够有效地应用于大规模路网结构路段关键度快 速计算,为关键路段识别、道路封闭影响评价等提供理论依据.

关键词: 交通工程, 关键度, 节点需求重构, 大规模网络, 影响范围, 交通流重分配

Abstract:

Based on the defined failure scope of the link, its criticality calculation is quantified in terms of vulnerability and importance. The vulnerability is calculated by the probability of link failure under the some failure rules. Link importance evaluation is based on the network reconstruction after the link failure. The local node OD is redistributed on the local reconstructed network within the scope of failure link. Link importance calculation contains two aspects: impact indicator of variation of traveler time cost F(U fa) and traffic load variation indicator of local network F(S fa) . This method conforms to the changed effect of road network after link failure. It effectively avoids a current problem that time-varying OD data is difficult to be obtained. It also solves the singularity problem of choosing existing evaluation indicators. Experiment shows that this algorithm can be effectively applied to link criticality calculation in large-scale road network, and provides the theoretical basis of identifying critical links and evaluation the effect of road closure.

Key words: traffic engineering, criticality, node demand refactoring, large-scale network, influence scope, traffic redistribution

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