A link criticality index embedded in the convex combinations solution of user equilibrium traffic assignment
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DOI: 10.1016/j.tra.2019.06.005
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Cited by:
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- Zhang, Jianhua & Shao, Wenchao & Yang, Liqiang & Zhao, Xun & Liu, Weizhi, 2023. "Robustness assessments of urban rail transit networks based on user equilibrium with time compensation mechanism," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 613(C).
- Almotahari, Amirmasoud & Yazici, Anil, 2021. "A computationally efficient metric for identification of critical links in large transportation networks," Reliability Engineering and System Safety, Elsevier, vol. 209(C).
- Navin Bhatta & Shakhawat H. Tanim & Pamela Murray-Tuite, 2024. "Dynamics of Link Importance through Normal Conditions, Flood Response, and Recovery," Sustainability, MDPI, vol. 16(2), pages 1-35, January.
- Kurmankhojayev, Daniyar & Li, Guoyuan & Chen, Anthony, 2024. "Link criticality index: Refinement, framework extension, and a case study," Reliability Engineering and System Safety, Elsevier, vol. 243(C).
- Mylonas, Chrysostomos & Mitsakis, Evangelos & Kepaptsoglou, Konstantinos, 2023. "Criticality analysis in road networks with graph-theoretic measures, traffic assignment, and simulation," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 629(C).
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Keywords
Vulnerability; Criticality; Traffic assignment; Convex combinations algorithm;All these keywords.
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