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Modeling The Dynamic Route Choice Of Pedestrians To Assess The Criticality Of Building Evacuation

Author

Listed:
  • ARMEL ULRICH KEMLOH WAGOUM

    (Jülich Supercomputing Centre, Forschungszentrum Jülich GmbH, 52428 Jülich, Germany)

  • ARMIN SEYFRIED

    (Jülich Supercomputing Centre, Forschungszentrum, Jülich GmbH, 52428 Jülich, Germany;
    Division Civil Engineering, Bergische Universität, Wuppertal, Pauluskirchstr. 7, 42285 Wuppertal, Germany)

  • STEFAN HOLL

    (Jülich Supercomputing Centre, Forschungszentrum, Jülich GmbH, 52428 Jülich, Germany;
    Division Civil Engineering, Bergische Universität, Wuppertal, Pauluskirchstr. 7, 42285 Wuppertal, Germany)

Abstract

In this paper we propose an event-driven way finding algorithm for pedestrians in a graph-based structure. The motivation of each pedestrian is to leave the facility. The events used to redirect pedestrians include the identification of a jam situation and/or identification of a better route than the present. The modeled strategies are the shortest path (local and global); they are combined with a quickest path approach, which is based on an observation principle, i.e. pedestrians take their decisions based on the observed environment and are routed dynamically in the network using an appropriate cost benefit analysis function. The influences of the different strategies on the evacuation time, the individual times spent in jam, the jam size evolution, and the overall jam size itself are investigated. The response of the system to broken escape routes is also analyzed. A good and plausible dynamic response in the route choice behavior of the pedestrians is achieved.

Suggested Citation

  • Armel Ulrich Kemloh Wagoum & Armin Seyfried & Stefan Holl, 2012. "Modeling The Dynamic Route Choice Of Pedestrians To Assess The Criticality Of Building Evacuation," Advances in Complex Systems (ACS), World Scientific Publishing Co. Pte. Ltd., vol. 15(07), pages 1-22.
    • Handle: RePEc:wsi:acsxxx:v:15:y:2012:i:07:n:s0219525912500294
    DOI: 10.1142/S0219525912500294
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    Citations

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    Cited by:

    1. Jeongyun Kim & Sehyun Tak & Michel Bierlaire & Hwasoo Yeo, 2020. "Trajectory Data Analysis on the Spatial and Temporal Influence of Pedestrian Flow on Path Planning Decision," Sustainability, MDPI, vol. 12(24), pages 1-16, December.
    2. Huang, Hai-Jun & Xia, Tian & Tian, Qiong & Liu, Tian-Liang & Wang, Chenlan & Li, Daqing, 2020. "Transportation issues in developing China's urban agglomerations," Transport Policy, Elsevier, vol. 85(C), pages 1-22.
    3. Abdelghany, Ahmed & Abdelghany, Khaled & Mahmassani, Hani, 2016. "A hybrid simulation-assignment modeling framework for crowd dynamics in large-scale pedestrian facilities," Transportation Research Part A: Policy and Practice, Elsevier, vol. 86(C), pages 159-176.
    4. Zhou, Zi-Xuan & Nakanishi, Wataru & Asakura, Yasuo, 2021. "Route choice in the pedestrian evacuation: Microscopic formulation based on visual information," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 562(C).
    5. Huan-Huan, Tian & Li-Yun, Dong & Yu, Xue, 2015. "Influence of the exits’ configuration on evacuation process in a room without obstacle," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 420(C), pages 164-178.
    6. Ziyou Gao & Yunchao Qu & Xingang Li & Jiancheng Long & Hai-Jun Huang, 2014. "Simulating the Dynamic Escape Process in Large Public Places," Operations Research, INFORMS, vol. 62(6), pages 1344-1357, December.

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