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A resilience-based signal control for a time-dependent road network with hazmat transportation

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  • Chiou, Suh-Wen

Abstract

For a time-dependent urban road network with hazardous materials (hazmat) transportation, a resilience-based signal control is proposed to manage maximum risk over links. In order to promote equity of risk in a spatial distribution, a stochastic program to reduce maximum time-varying risk over links is proposed together with a time-dependent scenario-driven decomposition (TSD). To demonstrate feasibility of proposed TSD, numerical experiments using a realistic road network are performed and comparisons are made with recently proposed ones. The results showed that the proposed TSD can successfully reduce maximum risk ratio in a time-dependent road network whilst being incurred much less computational effort in comparison with others.

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  • Chiou, Suh-Wen, 2020. "A resilience-based signal control for a time-dependent road network with hazmat transportation," Reliability Engineering and System Safety, Elsevier, vol. 193(C).
    • Handle: RePEc:eee:reensy:v:193:y:2020:i:c:s0951832018314467
    DOI: 10.1016/j.ress.2019.106570
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    Cited by:

    1. Liping Liu & Jiaming Li & Lei Zhou & Tijun Fan & Shuxia Li, 2021. "Research on Route Optimization of Hazardous Materials Transportation Considering Risk Equity," Sustainability, MDPI, vol. 13(16), pages 1-19, August.
    2. González, Santiago G. & Dormido Canto, S. & Sánchez Moreno, José, 2020. "Obtaining high preventive and resilience capacities in critical infrastructure by industrial automation cells," International Journal of Critical Infrastructure Protection, Elsevier, vol. 29(C).
    3. Wang, Jinpei & Bai, Xuejie & Liu, Yankui, 2023. "Globalized robust bilevel optimization model for hazmat transport network design considering reliability," Reliability Engineering and System Safety, Elsevier, vol. 239(C).
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    5. Huang, Wencheng & Zhou, Bowen & Yu, Yaocheng & Yin, Dezhi, 2021. "Vulnerability analysis of road network for dangerous goods transportation considering intentional attack: Based on Cellular Automata," Reliability Engineering and System Safety, Elsevier, vol. 214(C).

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