Agent Based Modelling and Simulation of Pedestrian Crowds in Panic Situations
Keywords:pedestrian crowd simulation, agent based models, multiagent systems
AbstractThe increasing occurrence of panic stampedes during mass events has motivated studying the impact of panic on crowd dynamics. Understanding the collective behaviors of panic stampedes is essential to reducing the risk of deadly crowd disasters. In this work, we use an agent-based formulation to model the collective human behavior in such crowd dynamics. We investigate the impact of panic behavior on crowd dynamics, as a specific form of collective behavior, by introducing a contagious panic parameter. The proposed model describes the intensity and spread of panic through the crowd. The corresponding panic parameter impacts each individual to represent a different variety of behaviors that can be associated with panic situations such as escaping danger, clustering, and pushing. Simulation results show contagious panic and pushing behavior, resulting in a more realistic crowd dynamics model.
D. Helbing, I. Farkas, and T. Vicsek, “Simulating dynamical features of escape panic.” Nature, vol.
, no. 6803, pp. 487–490, Sep. 2000.
M.A. Staal, “Stress, Cognition, and Human Performance: A Literature Review and Conceptual
Framework”, Ames Research Center, Moffett Field, California, NASA/TM—2004–212824.
M. Alrashed, Agent Based Modelling and Simulation of Pedestrian Crowds in Panic Situations,
(master dissertation) KAUST.
Bosse, Tibor, et al. "Agent-based analysis of patterns in crowd behaviour involving contagion of
mental states." International Conference on Industrial, Engineering and Other Applications of
Applied Intelligent Systems. Springer, Berlin, Heidelberg, 2011.
Elzie, Terra, et al. "Panic that spreads sociobehavioral contagion in pedestrian evacuations."
Transportation Research Record: Journal of the Transportation Research Board 2586 (2016): 1-8.
How to Cite
Copyright (c) 2020 Mohammed Alrashed, Jeff Shamma
This work is licensed under a Creative Commons Attribution 4.0 International License.
Authors contributing to Collective Dynamics agree to publish their articles under the Creative Commons Attribution 4.0 license.
This license allows:
Share — copy and redistribute the material in any medium or format
Adapt — remix, transform, and build upon the material
for any purpose, even commercially.
The licensor cannot revoke these freedoms as long as you follow the license terms.
Authors retain copyright of their work. They are permitted and encouraged to post items submitted to Collective Dynamics on personal or institutional websites and repositories, prior to and after publication (while providing the bibliographic details of that publication).