Identifying critical road segments and optimizing resilience strategies based on multi-state congested characteristics

IF 9.4 1区工程技术 Q1 ENGINEERING, INDUSTRIAL

Reliability Engineering & System Safety Pub Date : 2025-02-15 DOI:10.1016/j.ress.2025.110912

Xiushi Dong , Hongjun Cui , Yue Su , Minqing Zhu , Sheng Yao

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引用次数: 0

Abstract

The urban transportation systems are susceptible to congestion, accidents, and other costly delays, and recovery is challenging. Accurately identifying critical road segments and determining the optimization order are essential prerequisites for significantly improving network resilience. In this context, this paper proposes a method for identifying critical segments in congested road networks and a resilience optimization strategy based on the optimized order. Firstly, multiple congested states of segments are classified by their speed, and the performance is estimated by the probability-based method. Then, performance and temporal dimensions are combined to evaluate segment resilience. After that, the concept of local network resilience for segments is introduced. A resilience-based method for identifying critical road segments is proposed considering both segment performance and their connections with the network. Finally, the proposed resilience optimization strategy is demonstrated to significantly enhance network resilience by comparing it based only on complex network approaches or segment resilience. This has practical implications for alleviating traffic congestion or determining post-disaster network repair priorities.

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来源期刊

Reliability Engineering & System Safety 管理科学-工程：工业

CiteScore

15.20

自引率

39.50%

发文量

621

审稿时长

67 days

期刊介绍： Elsevier publishes Reliability Engineering & System Safety in association with the European Safety and Reliability Association and the Safety Engineering and Risk Analysis Division. The international journal is devoted to developing and applying methods to enhance the safety and reliability of complex technological systems, like nuclear power plants, chemical plants, hazardous waste facilities, space systems, offshore and maritime systems, transportation systems, constructed infrastructure, and manufacturing plants. The journal normally publishes only articles that involve the analysis of substantive problems related to the reliability of complex systems or present techniques and/or theoretical results that have a discernable relationship to the solution of such problems. An important aim is to balance academic material and practical applications.