IDEAS home Printed from https://ideas.repec.org/a/wsi/ijmpcx/v32y2021i12ns012918312150159x.html
   My bibliography  Save this article

Towards strategy evolution in pedestrian room evacuation

Author

Listed:
  • Junbiao Guan

    (School of Science, Hangzhou Dianzi University, Hangzhou, Zhejiang 310018, P. R. China)

  • Kaihua Wang

    (��School of Mathematics and Statistics, Hainan Normal University, Haikou, Hainan 571158, P. R. China)

  • Jianfang Yang

    (School of Science, Hangzhou Dianzi University, Hangzhou, Zhejiang 310018, P. R. China)

Abstract

Knowing how crowds behave is crucial to understanding pedestrian evacuation. In this work, we study strategy evolution in pedestrian room evacuation using a cellular automaton (CA) model with a spatial game. Agents play the game under certain conditions. While playing the game, they choose one of the three strategies (Patient strategy, Normal strategy and Impatient strategy) according to either fitness or imitation that leads to patient, normal or impatient behavior. Interactions among agents are reflected by the payoffs (related with friction cost) which may depend on agents’ surroundings. Simulation results show how evacuation conditions, agents’ individual actions, and friction cost affect strategy evolution in pedestrian room evacuation. It is found that cooperation exists both in emergency situation and relatively nonemergency situation, but appears more in the latter one. The imitation action has negative impacts either on the evolution of Normal strategy in relatively nonemergency situation or on the evolution of Patient strategy in emergency situation. In addition, uniform evolution phenomena are observed in the evacuation process, despite different composition of initial agents.

Suggested Citation

  • Junbiao Guan & Kaihua Wang & Jianfang Yang, 2021. "Towards strategy evolution in pedestrian room evacuation," International Journal of Modern Physics C (IJMPC), World Scientific Publishing Co. Pte. Ltd., vol. 32(12), pages 1-21, December.
    • Handle: RePEc:wsi:ijmpcx:v:32:y:2021:i:12:n:s012918312150159x
    DOI: 10.1142/S012918312150159X
    as

    Download full text from publisher

    File URL: http://www.worldscientific.com/doi/abs/10.1142/S012918312150159X
    Download Restriction: Access to full text is restricted to subscribers
    File URL: https://libkey.io/10.1142/S012918312150159X?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:wsi:ijmpcx:v:32:y:2021:i:12:n:s012918312150159x. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Tai Tone Lim (email available below). General contact details of provider: http://www.worldscinet.com/ijmpc/ijmpc.shtml .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.