Road Network Vulnerability Analysis Based on Improved Ant Colony Algorithm

Author:

Wang Yunpeng1,Feng Yuqin12,Li Wenxiang3,Fulcher William Case4,Zhang Li4

Affiliation:

1. School of Transportation Science and Engineering, Beihang University, Beijing 100191, China

2. School of Automobile Engineering, Heilongjiang Institute of Technology, Harbin 150050, China

3. Key Laboratory of Road Traffic Engineering of the Ministry of Education, Tongji University, Shanghai 201804, China

4. Department of Civil and Environmental Engineering, Mississippi State University, Starkville, MS 39759, USA

Abstract

We present an improved ant colony algorithm-based approach to assess the vulnerability of a road network and identify the critical infrastructures. This approach improves computational efficiency and allows for its applications in large-scale road networks. This research involves defining the vulnerability conception, modeling the traffic utility index and the vulnerability of the road network, and identifying the critical infrastructures of the road network. We apply the approach to a simple test road network and a real road network to verify the methodology. The results show that vulnerability is directly related to traffic demand and increases significantly when the demand approaches capacity. The proposed approach reduces the computational burden and may be applied in large-scale road network analysis. It can be used as a decision-supporting tool for identifying critical infrastructures in transportation planning and management.

Funder

China Postdoctoral Science Foundation

Publisher

Hindawi Limited

Subject

General Engineering,General Mathematics

Cited by 1 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. An Ant Colony Approach with Subjective-Objective Weight Optimization for Service Selection;2022 IEEE Smartworld, Ubiquitous Intelligence & Computing, Scalable Computing & Communications, Digital Twin, Privacy Computing, Metaverse, Autonomous & Trusted Vehicles (SmartWorld/UIC/ScalCom/DigitalTwin/PriComp/Meta);2022-12

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