IDEAS home Printed from https://ideas.repec.org/h/spr/trachp/978-1-4614-0947-2_14.html
   My bibliography  Save this book chapter

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
    as

    Download full text from publisher

    To our knowledge, this item is not available for download. To find whether it is available, there are three options:
    1. Check below whether another version of this item is available online.
    2. Check on the provider's web page whether it is in fact available.
    3. Perform a search for a similarly titled item that would be available.

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    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. Bayram, Vedat & Yaman, Hande, 2024. "A joint demand and supply management approach to large scale urban evacuation planning: Evacuate or shelter-in-place, staging and dynamic resource allocation," European Journal of Operational Research, Elsevier, vol. 313(1), pages 171-191.
    3. 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.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:spr:trachp:978-1-4614-0947-2_14. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.