中间性中心性
脆弱性(计算)
计算机科学
节点(物理)
级联故障
交通拥挤
流量(计算机网络)
比例(比率)
运输工程
计算机安全
地理
工程类
中心性
数学
地图学
统计
量子力学
结构工程
电力系统
物理
功率(物理)
作者
Ziqi Wang,Yulong Pei,Jing Liu,Hehang Liu
标识
DOI:10.1016/j.ijcip.2023.100590
摘要
Traffic congestion is a global issue, which occurs during rush hour but also in situations of emergency causing massive congestion. This paper proposes a method for building a weighted road network by using the real-time traffic situation and the inherent characteristics of Urban Road Networks (URNs). To research the cascading failure vulnerability of URNs three kinds of node importance indexes are constructed from the structure, function, and traffic flow characteristics. Then the feasibility and validity of the proposed model are verified by taking Shanghai road networks (SRNs) as an example. The results indicate that the highest betweenness node-based attack causes the most damage to the SRNS of different types of attacks, and the SRNS cascade fails with the greatest speed and scale. Furthermore, we explore that the correlations between network vulnerability indicators, and suggest significant differences at different times during cascading failures of the weighted road network.
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