Invulnerability Simulation in Urban Agglomeration Passenger Traffic Network under Targeted Attacks

被引：0

作者：

Li C.-B. ^{[1
]}

Zhang S. ^{[1
]}

Yang Z.-C. ^{[1
]}

Liu Z.-Y. ^{[1
]}

机构：

[1] School of Transportation, Inner Mongolia University, Hohhot

来源：

Jiaotong Yunshu Xitong Gongcheng Yu Xinxi/Journal of Transportation Systems Engineering and Information Technology | 2019年 / 19卷 / 02期

基金：

中国国家自然科学基金;

关键词：

Cascading failure; Composite traffic network model; Integrated transportation; Invulnerability; Urban agglomeration passenger traffic network;

D O I：

10.16097/j.cnki.1009-6744.2019.02.003

中图分类号：

学科分类号：

摘要：

To improve the traffic system's ability to fight targeted destruction in urban agglomeration, composite traffic network is used to research urban agglomeration passenger traffic network' s invulnerability. First, the model of urban agglomeration passenger composite traffic network is established and weighted with practical passenger flow. Secondly, the model of optimal allotment base on spare capacity is improved, then the model of composite traffic network cascading invulnerability is established. Thirdly, between network efficiency and relative scale of weighted most large connected subgraph are put forward to evaluate network' s invulnerability. Finally, using targeted attack strategy, H-B-E urban agglomeration is used to simulate as example. The results show that: under targeted attacks, only two attacks can reduce the invulnerability of urban agglomeration passenger traffic network by about 90%; under certain passenger demand, there is a threshold for the overload capability adjustment parameter; if the station construction investment exceeds this value, it will cause unnecessary waste. Copyright © 2019 by Science Press.

引用

页码：14 / 21

页数：7

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