脆弱性(计算)
中间性中心性
计算机科学
运输工程
脆弱性评估
流量网络
流量(计算机网络)
TRIPS体系结构
计算机安全
工程类
中心性
数学
组合数学
心理学
数学优化
心理弹性
心理治疗师
作者
Chen Chen,Shuliang Wang,Jianhua Zhang,Xifeng Gu,Xiaodi Huang
标识
DOI:10.1016/j.ijcip.2022.100536
摘要
The vulnerability assessment of urban road traffic systems is of great significance in urban management, particularly for ensuring their safety and sustainable operations. The majority of existing work focuses mainly on road network performance from the perspective of its structure but ignores analysis of its functional vulnerability. As such, this paper proposes a novel framework for analysing the vulnerability of road networks based on their real traffic flow. Specifically, a weighted road traffic network model is first constructed with the traffic flow obtained by using a user equilibrium model, which is built on the real original-destination data extracted from taxi trips. Second, a comprehensive indicator for node importance is introduced by integrating the entropy weight method with the technique for order preference. The vulnerability of a network in different scenarios is analyzed from both the structural and functional perspectives. Finally, several experiments have been conducted on the road networks in Haikou, China. The experimental results show that the proposed framework performs well. In addition, we find that nodes with a higher weighted betweenness have a greater impact on the overall vulnerability of a network, and the network travel time under the comprehensive indicator is correlated positively with flow loss.
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