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An optimization approach for real time evacuation reroute planning

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  • Gino Lim
  • M. Baharnemati
  • Seon Kim

Abstract

This paper addresses evacuation route management in the case of incidents arising during an evacuation and aims to minimize further delays they may cause. An evacuation reroute planning approach is developed for decision makers to utilize alternative routes in real time for the evacuees whose evacuation paths are affected by an incident during the evacuation process. Assuming that real time traffic information is available, a preprocessing algorithm is performed to update the evacuation networks. A multi-commodity network flow optimization model is then utilized to develop alternative paths and corresponding flow rates. Due to the underlying optimization model being a mixed integer nonlinear programming formulation, a linear reformulation of the model is developed to improve the computational performance. In the numerical results, the performance of the proposed decision making tool is tested using a case study. Copyright Springer Science+Business Media New York 2016

Suggested Citation

  • Gino Lim & M. Baharnemati & Seon Kim, 2016. "An optimization approach for real time evacuation reroute planning," Annals of Operations Research, Springer, vol. 238(1), pages 375-388, March.
    • Handle: RePEc:spr:annopr:v:238:y:2016:i:1:p:375-388:10.1007/s10479-015-2072-5
    DOI: 10.1007/s10479-015-2072-5
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    References listed on IDEAS

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    1. Mukesh Rungta & Gino Lim & MohammadReza Baharnemati, 2012. "Optimal egress time calculation and path generation for large evacuation networks," Annals of Operations Research, Springer, vol. 201(1), pages 403-421, December.
    2. Hong Zheng & Yi-Chang Chiu, 2011. "A Network Flow Algorithm for the Cell-Based Single-Destination System Optimal Dynamic Traffic Assignment Problem," Transportation Science, INFORMS, vol. 45(1), pages 121-137, February.
    3. Lim, Gino J. & Zangeneh, Shabnam & Reza Baharnemati, M. & Assavapokee, Tiravat, 2012. "A capacitated network flow optimization approach for short notice evacuation planning," European Journal of Operational Research, Elsevier, vol. 223(1), pages 234-245.
    4. Cova, Thomas J. & Johnson, Justin P., 2003. "A network flow model for lane-based evacuation routing," Transportation Research Part A: Policy and Practice, Elsevier, vol. 37(7), pages 579-604, August.
    5. Galindo, Gina & Batta, Rajan, 2013. "Review of recent developments in OR/MS research in disaster operations management," European Journal of Operational Research, Elsevier, vol. 230(2), pages 201-211.
    6. Gino J. Lim & Mukesh Rungta & M. Reza Baharnemati, 2015. "Reliability analysis of evacuation routes under capacity uncertainty of road links," IISE Transactions, Taylor & Francis Journals, vol. 47(1), pages 50-63, January.
    7. Tao Yao & Supreet Mandala & Byung Chung, 2009. "Evacuation Transportation Planning Under Uncertainty: A Robust Optimization Approach," Networks and Spatial Economics, Springer, vol. 9(2), pages 171-189, June.
    8. Fred Glover, 1975. "Improved Linear Integer Programming Formulations of Nonlinear Integer Problems," Management Science, INFORMS, vol. 22(4), pages 455-460, December.
    9. Ng, ManWo & Waller, S. Travis, 2010. "Reliable evacuation planning via demand inflation and supply deflation," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 46(6), pages 1086-1094, November.
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    Cited by:

    1. Urmila Pyakurel & Hari Nandan Nath & Tanka Nath Dhamala, 2019. "Partial contraflow with path reversals for evacuation planning," Annals of Operations Research, Springer, vol. 283(1), pages 591-612, December.
    2. Darvishan, Ayda & Lim, Gino J., 2021. "Dynamic network flow optimization for real-time evacuation reroute planning under multiple road disruptions," Reliability Engineering and System Safety, Elsevier, vol. 214(C).

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