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Microscopic information processing and communication in crowd dynamics

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  • Henein, Colin Marc
  • White, Tony

Abstract

Due, perhaps, to the historical division of crowd dynamics research into psychological and engineering approaches, microscopic crowd models have tended toward modelling simple interchangeable particles with an emphasis on the simulation of physical factors. Despite the fact that people have complex (non-panic) behaviours in crowd disasters, important human factors in crowd dynamics such as information discovery and processing, changing goals and communication have not yet been well integrated at the microscopic level. We use our Microscopic Human Factors methodology to fuse a microscopic simulation of these human factors with a popular microscopic crowd model. By tightly integrating human factors with the existing model we can study the effects on the physical domain (movement, force and crowd safety) when human behaviour (information processing and communication) is introduced.

Suggested Citation

  • Henein, Colin Marc & White, Tony, 2010. "Microscopic information processing and communication in crowd dynamics," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 389(21), pages 4636-4653.
  • Handle: RePEc:eee:phsmap:v:389:y:2010:i:21:p:4636-4653
    DOI: 10.1016/j.physa.2010.05.045
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    References listed on IDEAS

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    Cited by:

    1. Yamamoto, Hiroki & Yanagisawa, Daichi & Feliciani, Claudio & Nishinari, Katsuhiro, 2019. "Body-rotation behavior of pedestrians for collision avoidance in passing and cross flow," Transportation Research Part B: Methodological, Elsevier, vol. 122(C), pages 486-510.
    2. Mengting Liu & Wei Zhu & Yafei Wang & Jianchun Zheng, 2021. "Modeling and Simulation of Exit Selection Behavior in Pedestrian Evacuation Based on Information Perception and Transmission," Sustainability, MDPI, vol. 13(23), pages 1-17, November.
    3. Faryal Ali & Zawar Hussain Khan & Khurram Shehzad Khattak & Thomas Aaron Gulliver & Ahmed B. Altamimi, 2023. "A Microscopic Traffic Model Incorporating Vehicle Vibrations Due to Pavement Condition," Mathematics, MDPI, vol. 11(24), pages 1-24, December.
    4. Guo, Wei & Wang, Xiaolu & Liu, Mengting & Cheng, Yuan & Zheng, Xiaoping, 2015. "Modification of the dynamic floor field model by the heterogeneous bosons," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 417(C), pages 358-366.
    5. Gwizdałła, Tomasz M., 2015. "Some properties of the floor field cellular automata evacuation model," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 419(C), pages 718-728.
    6. Wang, Xiaolu & Zheng, Xiaoping & Cheng, Yuan, 2012. "Evacuation assistants: An extended model for determining effective locations and optimal numbers," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 391(6), pages 2245-2260.
    7. Fu, Libi & Song, Weiguo & Lv, Wei & Lo, Siuming, 2014. "Simulation of emotional contagion using modified SIR model: A cellular automaton approach," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 405(C), pages 380-391.

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