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High pressures in room evacuation processes and a first approach to the dynamics around unconscious pedestrians

Author

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  • Cornes, F.E.
  • Frank, G.A.
  • Dorso, C.O.

Abstract

Clogging raises as the principal phenomenon during many evacuation processes of pedestrians in an emergency situation. As people push to escape from danger, compression forces may increase to harming levels. Many individuals might fall down, while others will try to dodge the fallen people, or, simply pass through them. We studied the dynamics of the crowd for these situations, in the context of the “social force model”. We modeled the unconscious (fallen) pedestrians as inanimate bodies that can be dodged (or not) by the surrounding individuals. We found that new morphological structures appear along the evacuating crowd. Under specific conditions, these structures may enhance the evacuation performance. The pedestrian’s willings for either dodging or passing through the unconscious individuals play a relevant role in the overall evacuation performance.

Suggested Citation

  • Cornes, F.E. & Frank, G.A. & Dorso, C.O., 2017. "High pressures in room evacuation processes and a first approach to the dynamics around unconscious pedestrians," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 484(C), pages 282-298.
    • Handle: RePEc:eee:phsmap:v:484:y:2017:i:c:p:282-298
    DOI: 10.1016/j.physa.2017.05.013
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    References listed on IDEAS

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    1. Parisi, D.R. & Dorso, C.O., 2007. "Morphological and dynamical aspects of the room evacuation process," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 385(1), pages 343-355.
    2. Nagai, Ryoichi & Fukamachi, Masahiro & Nagatani, Takashi, 2006. "Evacuation of crawlers and walkers from corridor through an exit," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 367(C), pages 449-460.
    3. Parisi, D.R. & Dorso, C.O., 2005. "Microscopic dynamics of pedestrian evacuation," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 354(C), pages 606-618.
    4. Frank, G.A. & Dorso, C.O., 2011. "Room evacuation in the presence of an obstacle," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 390(11), pages 2135-2145.
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    Citations

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    Cited by:

    1. Rozan, E.A. & Frank, G.A. & Cornes, F.E. & Sticco, I.M. & Dorso, C.O., 2022. "Microscopic dynamics of escaping groups through an exit and a corridor," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 597(C).
    2. Haghani, Milad & Sarvi, Majid & Shahhoseini, Zahra, 2019. "When ‘push’ does not come to ‘shove’: Revisiting ‘faster is slower’ in collective egress of human crowds," Transportation Research Part A: Policy and Practice, Elsevier, vol. 122(C), pages 51-69.
    3. Tamang, Nutthavuth & Sun, Yi, 2023. "Application of the dynamic Monte Carlo method to pedestrian evacuation dynamics," Applied Mathematics and Computation, Elsevier, vol. 445(C).
    4. Delcea, Camelia & Cotfas, Liviu-Adrian, 2019. "Increasing awareness in classroom evacuation situations using agent-based modeling," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 523(C), pages 1400-1418.
    5. Zheng, Ying & Li, Xingang & Zhu, Nuo & Jia, Bin & Jiang, Rui, 2018. "Evacuation dynamics with smoking diffusion in three dimension based on an extended Floor-Field model," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 507(C), pages 414-426.
    6. Cornes, F.E. & Frank, G.A. & Dorso, C.O., 2021. "Microscopic dynamics of the evacuation phenomena in the context of the Social Force Model," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 568(C).
    7. Sticco, I.M. & Frank, G.A. & Dorso, C.O., 2021. "Social Force Model parameter testing and optimization using a high stress real-life situation," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 561(C).

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