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Heuristic Solution Techniques for No-Notice Emergency Evacuation Traffic Management

In: Network Reliability in Practice

Author

Listed:
  • Saif Eddin Jabari

    (University of Minnesota)

  • Xiaozheng He

    (University of Minnesota)

  • Henry X. Liu

    (University of Minnesota)

Abstract

When responding to unanticipated emergency events, time is of the essence. This paper proposes a heuristic algorithm for staged traffic evacuation, referred to as HASTE, which is shown to approximate a solution to the cell transmission-based many-to-one dynamic system optimum (DSO) traffic assignment problem. The proposed algorithm does not contain traffic holding, is fast enough for online applications, and produces evacuee routing schedules as its output. As an application of HASTE, a mixed 0-1 integer programming extension to the DSO is proposed to identify critical signalized intersection locations in the network for deployment of a limited number of police officers aimed at improving network throughput and further minimizing evacuee exposure time to the hazard. For the combined problem, a genetic algorithms-based solution procedure is proposed that uses HASTE for solution fitness. Efficiency and quality of the heuristic strategies are demonstrated via numerical experiments for moderately sized problems.

Suggested Citation

  • Saif Eddin Jabari & Xiaozheng He & Henry X. Liu, 2012. "Heuristic Solution Techniques for No-Notice Emergency Evacuation Traffic Management," Transportation Research, Economics and Policy, in: David M. Levinson & Henry X. Liu & Michael Bell (ed.), Network Reliability in Practice, edition 1, chapter 0, pages 241-259, Springer.
    • Handle: RePEc:spr:trachp:978-1-4614-0947-2_14
    DOI: 10.1007/978-1-4614-0947-2_14
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    Cited by:

    1. Xiaozheng He & Hong Zheng & Srinivas Peeta & Yongfu Li, 2018. "Network Design Model to Integrate Shelter Assignment with Contraflow Operations in Emergency Evacuation Planning," Networks and Spatial Economics, Springer, vol. 18(4), pages 1027-1050, December.
    2. Xiaozheng He & Srinivas Peeta, 2014. "Dynamic Resource Allocation Problem for Transportation Network Evacuation," Networks and Spatial Economics, Springer, vol. 14(3), pages 505-530, December.

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