城市轨道交通网络鲁棒性分析
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TP393

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河南省高等学校重点科研资助项目(18A413013)和河南省科技厅科技攻关研究计划(182102210456)


Robustness Analysis of Urban Rail Transit Network
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    摘要:

    为保障城市轨道交通运输网络的安全运营,使城市轨道交通网络改、扩、建优化策略更具有针对性,提升网络抗毁能力。通过复杂网络理论构建城市轨道交通网络路网模型,该模型引入虚拟换乘边概念,便于准确地描述网络中边的权重,并通过提出改进的边权函数以及交通流动态分配原则,建立了网络级联失效模型。以郑州市城市轨道交通网络进行了实证分析,结果表明:改进后的城市轨道交通网络级联失效模型能更为准确地仿真网络级联失效过程;网络在选择性攻击和随机性攻击下选择性攻击网络所呈现的鲁棒性较差。可见对于城市轨道交通网络优化时,应该重视提升关键节点的鲁棒性,实现网络高效运转。

    Abstract:

    In order to ensure the safe operation of the urban rail transit transportation network, the optimization strategy of the transformation, expansion and construction of the urban rail transit network is more targeted and the network's anti-destruction ability is improved. Through complex network theory to build road network model of urban rail transit network, this model introduced a concept of virtual change to the side, easy to accurately describe the edge weights of network, and put forward the improved edge weight function and traffic flow dynamic allocation principle, network cascading failure model is established. The empirical analysis of zhengzhou urban rail transit network shows that the improved cascade failure model can simulate the cascade failure process more accurately. The robustness of selective attack networks is poor under selective attack and random attack. It can be seen that when optimizing urban rail transit network, attention should be paid to improving the robustness of key nodes and realizing efficient operation of the network.

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谢本凯,涂新雨,李琴. 城市轨道交通网络鲁棒性分析[J]. 科学技术与工程, 2020, 20(28): 11693-11697.
Xie Benkai. Robustness Analysis of Urban Rail Transit Network[J]. Science Technology and Engineering,2020,20(28):11693-11697.

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  • 收稿日期:2019-10-22
  • 最后修改日期:2019-11-29
  • 录用日期:2020-02-07
  • 在线发布日期: 2020-11-03
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