交通运输工程

突发事件下交通流密集水域通航系统的脆点辨识

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  • 1. 武汉理工大学 交通学院,湖北 武汉 430063; 2. 国家水运安全工程技术研究中心,湖北 武汉 430063; 3. 武汉理工大学 智能交通系统研究中心,湖北 武汉 430063; 4. 山东交通学院 航海学院,山东 威海 264209
陈永军(1988-),男,博士生,主要从事交通运输安全研究. E-mail:617519077@qq.com

收稿日期: 2019-01-09

  修回日期: 2019-04-22

  网络出版日期: 2019-10-02

基金资助

国家自然科学基金资助项目( 51379171)

Brittle Nodes Identification of Navigation System in Traffic Flow Intensive Waters in Emergency Situations

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  • 1. School of Transportation,Wuhan University of Technology,Wuhan 430063,Hubei,China; 2. National Engineering Research Center for Water Transport Safety,Wuhan 430063,Hubei,China; 3. Intelligent Transportation Systems Research Center,Wuhan University of Technology,Wuhan 430063,Hubei,China; 4. Navigation College,Shandong Jiaotong University,Weihai 264209,Shandong,China
陈永军(1988-),男,博士生,主要从事交通运输安全研究. E-mail:617519077@qq.com

Received date: 2019-01-09

  Revised date: 2019-04-22

  Online published: 2019-10-02

Supported by

Supported by the National Natural Science Foundation of China( 51379171)

摘要

为提高交通流密集水域通航系统对突发事件的抵抗能力,文中提出一种基于不同攻击策略的通航系统脆点辨识方法. 首先,基于原点映射法对交通流密集水域通航系统的拓扑结构进行建模,并分析该系统的网络拓扑统计特征. 在此基础上,通过对比分析不同攻击策略下交通流密集水域全局网络效率的变化情况对该系统的脆点进行辨识. 最后,以长江入海口为例,针对交通流密集水域通航系统的脆点辨识开展案例研究. 结果表明:运用复杂网络方法辨识交通流密集水域通航系统的脆点,并在不同攻击策略下对通航系统的节点与边的脆点进行分析,能有效识别影响船舶通航系统可靠性的关键脆点. 通过对辨识出的关键节点和航线的通航风险进行有效预控,有利于降低整个通航系统的脆弱性.

本文引用格式

陈永军, 刘清, 万程鹏, 等 . 突发事件下交通流密集水域通航系统的脆点辨识[J]. 华南理工大学学报(自然科学版), 2019 , 47(11) : 54 -61,70 . DOI: 10.12141/j.issn.1000-565X.190007

Abstract

In order to improve the emergency response ability in the traffic-intensive waters,a brittle node identifi- cation method for navigation system based on different attack strategies was proposed. Firstly,based on the original mapping method,the topological structure of the navigation system in traffic-intensive waters was modeled,and the network topology statistical characteristics of the navigation system were analyzed. Then the brittle node of the sys- tem was identified by analyzing the changes of global network efficiency in traffic-intensive waters under different at- tack strategies. Taking the navigation system of the Yangtze River estuary as an example,a case study on the brittle node identification of the traffic flow in traffic-intensive waters was carried out. The research results show that the identification of the brittle nodes of navigation systems in traffic-intensive waters with the complex network method and the analysis of the nodes and brittle nodes of navigation system under different attack strategies can effectively identify the key vulnerabilities that affect the reliability of the ship navigation system. By effectively pre-controlling the identified key nodes and routes,it can help to reduce the vulnerability of the whole navigation system.
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