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Hierarchical multi-objective evacuation routing in stadium using ant colony optimization approach

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  • Fang, Zhixiang
  • Zong, Xinlu
  • Li, Qingquan
  • Li, Qiuping
  • Xiong, Shengwu

Abstract

Evacuation planning is a fundamental requirement to ensure that most people can be evacuated to a safe area when a natural accident or an intentional act happens in a stadium environment. The central challenge in evacuation planning is to determine the optimum evacuation routing to safe areas. We describe the evacuation network within a stadium as a hierarchical directed network. We propose a multi-objective optimization approach to solve the evacuation routing problem on the basis of this hierarchical directed network. This problem involves three objectives that need to be achieved simultaneously, such as minimization of total evacuation time, minimization of total evacuation distance and minimal cumulative congestion degrees in an evacuation process. To solve this problem, we designed a modified ant colony optimization (ACO) algorithm, implemented it in the MATLAB software environment, and tested it using a stadium at the Wuhan Sports Center in China. We demonstrate that the algorithm can solve the problem, and has a better evacuation performance in terms of organizing evacuees’ space–time paths than the ACO algorithm, the kth shortest path algorithm and the second generation of non-dominated sorting genetic algorithm were used to improve the results from the kth shortest path algorithm.

Suggested Citation

  • Fang, Zhixiang & Zong, Xinlu & Li, Qingquan & Li, Qiuping & Xiong, Shengwu, 2011. "Hierarchical multi-objective evacuation routing in stadium using ant colony optimization approach," Journal of Transport Geography, Elsevier, vol. 19(3), pages 443-451.
    • Handle: RePEc:eee:jotrge:v:19:y:2011:i:3:p:443-451
    DOI: 10.1016/j.jtrangeo.2010.10.001
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    1. Xie, Chi & Lin, Dung-Ying & Travis Waller, S., 2010. "A dynamic evacuation network optimization problem with lane reversal and crossing elimination strategies," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 46(3), pages 295-316, May.
    2. Kaufman, David E. & Nonis, Jason & Smith, Robert L., 1998. "A mixed integer linear programming model for dynamic route guidance," Transportation Research Part B: Methodological, Elsevier, vol. 32(6), pages 431-440, August.
    3. Stepanov, Alexander & Smith, James MacGregor, 2009. "Multi-objective evacuation routing in transportation networks," European Journal of Operational Research, Elsevier, vol. 198(2), pages 435-446, October.
    4. Pursals, Salvador Casadesús & Garzón, Federico Garriga, 2009. "Optimal building evacuation time considering evacuation routes," European Journal of Operational Research, Elsevier, vol. 192(2), pages 692-699, January.
    5. Lichun Chen & Elise Miller‐Hooks, 2008. "The building evacuation problem with shared information," Naval Research Logistics (NRL), John Wiley & Sons, vol. 55(4), pages 363-376, June.
    6. L. G. Chalmet & R. L. Francis & P. B. Saunders, 1982. "Network Models for Building Evacuation," Management Science, INFORMS, vol. 28(1), pages 86-105, January.
    7. Saadatseresht, Mohammad & Mansourian, Ali & Taleai, Mohammad, 2009. "Evacuation planning using multiobjective evolutionary optimization approach," European Journal of Operational Research, Elsevier, vol. 198(1), pages 305-314, October.
    8. So, Stella K. & Daganzo, Carlos F., 2009. "Managing Evacuation Routes," Institute of Transportation Studies, Research Reports, Working Papers, Proceedings qt75d4j8fm, Institute of Transportation Studies, UC Berkeley.
    9. Fang, Zhiming & Song, Weiguo & Zhang, Jun & Wu, Hao, 2010. "Experiment and modeling of exit-selecting behaviors during a building evacuation," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 389(4), pages 815-824.
    10. Georgiadou, Paraskevi S. & Papazoglou, Ioannis A. & Kiranoudis, Chris T. & Markatos, Nikolaos C., 2007. "Modeling emergency evacuation for major hazard industrial sites," Reliability Engineering and System Safety, Elsevier, vol. 92(10), pages 1388-1402.
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    Cited by:

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    2. Coutinho-Rodrigues, João & Tralhão, Lino & Alçada-Almeida, Luís, 2012. "Solving a location-routing problem with a multiobjective approach: the design of urban evacuation plans," Journal of Transport Geography, Elsevier, vol. 22(C), pages 206-218.
    3. Liu, Ying & Yu, Jiaqi & Yin, Qing & Sun, Cheng & Sun, Ang, 2021. "Impacts of human factors on evacuation performance in university gymnasiums," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 582(C).
    4. Xinhua Mao & Changwei Yuan & Jiahua Gan & Jibiao Zhou, 2019. "Optimal Evacuation Strategy for Parking Lots Considering the Dynamic Background Traffic Flows," IJERPH, MDPI, vol. 16(12), pages 1-20, June.
    5. Mohammadi, M. & Dehbari, S. & Vahdani, Behnam, 2014. "Design of a bi-objective reliable healthcare network with finite capacity queue under service covering uncertainty," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 72(C), pages 15-41.
    6. Kimms, A. & Maiwald, M., 2018. "Bi-objective safe and resilient urban evacuation planning," European Journal of Operational Research, Elsevier, vol. 269(3), pages 1122-1136.

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