IDEAS home Printed from https://ideas.repec.org/h/spr/spochp/978-3-319-97442-2_1.html
   My bibliography  Save this book chapter

Evacuation Trees with Contraflow and Divergence Considerations

In: Dynamics of Disasters

Author

Listed:
  • Omkar Achrekar

    (North Dakota State University)

  • Chrysafis Vogiatzis

    (North Carolina A&T State University)

Abstract

In this chapter, we investigate the well-studied evacuation planning problem, in which vehicles use the available road transportation network to reach safe areas (shelters) in the face of an upcoming disaster. To successfully evacuate these vehicles located in danger zones, our evacuation process needs to be fast, safe, and seamless. We enable the first two criteria by developing a macroscopic, time-dynamic evacuation model that aims to maximize a reward function, based on the number of people in relatively safer areas of the network at each time point. The third criterion is achieved by constructing an evacuation tree, where vehicles are evacuated using a single path to safety at each intersection. We extend on the definition of the evacuation tree by allowing for divergence and contraflow policies. Divergence enables specific nodes to diverge their flows into two or more streets, while contraflow allows certain streets to reverse their direction, effectively increasing their capacity. We investigate the performance of these policies in the evacuation networks obtained, and present results on two benchmark networks of Sioux Falls and Chicago.

Suggested Citation

  • Omkar Achrekar & Chrysafis Vogiatzis, 2018. "Evacuation Trees with Contraflow and Divergence Considerations," Springer Optimization and Its Applications, in: Ilias S. Kotsireas & Anna Nagurney & Panos M. Pardalos (ed.), Dynamics of Disasters, pages 1-46, Springer.
    • Handle: RePEc:spr:spochp:978-3-319-97442-2_1
    DOI: 10.1007/978-3-319-97442-2_1
    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. Urmila Pyakurel & Stephan Dempe, 2020. "Network Flow with Intermediate Storage: Models and Algorithms," SN Operations Research Forum, Springer, vol. 1(4), pages 1-23, December.
    2. Durga Prasad Khanal & Urmila Pyakurel & Tanka Nath Dhamala & Stephan Dempe, 2022. "Efficient Algorithms for Abstract Flow with Partial Switching," SN Operations Research Forum, Springer, vol. 3(4), pages 1-17, December.
    3. Denissa Sari Darmawi Purba & Eleftheria Kontou & Chrysafis Vogiatzis, 2021. "Evacuation Route Planning for Alternative Fuel Vehicles," Papers 2109.01578, arXiv.org, revised May 2022.

    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:spochp:978-3-319-97442-2_1. 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.