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Managing evacuation routes

Author

Listed:
  • So, Stella K.
  • Daganzo, Carlos F.

Abstract

This paper shows that evacuation routes, such as a building's stairwell or an urban freeway, may discharge inefficiently if left unmanaged, and that setting priority rules can speed up egress. Therefore, a simple control strategy is proposed. The strategy is decentralized and adaptive, based on readily available real-time data. The strategy is shown to be optimal in two senses: (i) it evacuates the maximum number of people at all times, and (ii) it finishes the evacuation in the least possible time. In both cases, it favors the people most at risk. The results shed light on other traffic problems.

Suggested Citation

  • So, Stella K. & Daganzo, Carlos F., 2010. "Managing evacuation routes," Transportation Research Part B: Methodological, Elsevier, vol. 44(4), pages 514-520, May.
    • Handle: RePEc:eee:transb:v:44:y:2010:i:4:p:514-520
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    References listed on IDEAS

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    1. Athanasios K. Ziliaskopoulos, 2000. "A Linear Programming Model for the Single Destination System Optimum Dynamic Traffic Assignment Problem," Transportation Science, INFORMS, vol. 34(1), pages 37-49, February.
    2. Daganzo, Carlos F., 1995. "The cell transmission model, part II: Network traffic," Transportation Research Part B: Methodological, Elsevier, vol. 29(2), pages 79-93, April.
    3. Lovell, David J. & Daganzo, Carlos F., 2000. "Access control on networks with unique origin-destination paths," Transportation Research Part B: Methodological, Elsevier, vol. 34(3), pages 185-202, April.
    4. Sherali, Hanif D. & Carter, Todd B. & Hobeika, Antoine G., 1991. "A location-allocation model and algorithm for evacuation planning under hurricane/flood conditions," Transportation Research Part B: Methodological, Elsevier, vol. 25(6), pages 439-452, December.
    5. Daganzo, Carlos F., 1994. "The cell transmission model: A dynamic representation of highway traffic consistent with the hydrodynamic theory," Transportation Research Part B: Methodological, Elsevier, vol. 28(4), pages 269-287, August.
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    Citations

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    Cited by:

    1. Üster, Halit & Wang, Xinghua & Yates, Justin T., 2018. "Strategic Evacuation Network Design (SEND) under cost and time considerations," Transportation Research Part B: Methodological, Elsevier, vol. 107(C), pages 124-145.
    2. Zhang, Zhao & Parr, Scott A. & Jiang, Hai & Wolshon, Brian, 2015. "Optimization model for regional evacuation transportation system using macroscopic productivity function," Transportation Research Part B: Methodological, Elsevier, vol. 81(P2), pages 616-630.
    3. Xuedong Yan & Xiaobing Liu & Yulei Song, 2018. "Optimizing evacuation efficiency under emergency with consideration of social fairness based on a cell transmission model," PLOS ONE, Public Library of Science, vol. 13(11), pages 1-21, November.
    4. Wu, Wen-Xiang & Huang, Hai-Jun, 2019. "A combined, adaptive strategy for managing evacuation routes," Transportation Research Part B: Methodological, Elsevier, vol. 123(C), pages 182-198.
    5. Vedat Bayram & Hande Yaman, 2018. "Shelter Location and Evacuation Route Assignment Under Uncertainty: A Benders Decomposition Approach," Transportation Science, INFORMS, vol. 52(2), pages 416-436, March.
    6. Daganzo, Carlos F. & So, Stella K., 2011. "Managing evacuation networks," Transportation Research Part B: Methodological, Elsevier, vol. 45(9), pages 1424-1432.
    7. Hong Zheng & Yi-Chang Chiu & Pitu B. Mirchandani, 2015. "On the System Optimum Dynamic Traffic Assignment and Earliest Arrival Flow Problems," Transportation Science, INFORMS, vol. 49(1), pages 13-27, February.

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