IDEAS home Printed from https://ideas.repec.org/h/spr/sprchp/978-3-319-02447-9_118.html
   My bibliography  Save this book chapter

WALK: A Modular Testbed for Crowd Evacuation Simulation

In: Pedestrian and Evacuation Dynamics 2012

Author

Listed:
  • Stefan Münchow

    (Hamburg University of Applied Sciences)

  • Ia Enukidze

    (Hamburg University)

  • Stefan Sarstedt

    (Hamburg University of Applied Sciences)

  • Thomas Thiel-Clemen

    (Hamburg University of Applied Sciences)

Abstract

When large numbers of people gather in public spaces such as stadiums, railway stations, shopping centers and concert halls there is an increased risk of mass emergence and disasters. Critical situations could possibly be prevented with appropriate tools to anticipate them. WALK is a modular designed crowd evacuation simulation system using a multi-agent approach. One major goal of WALK is to provide a framework for the simulation and comparison of different socio-psychological theories to gain essential insights about the emergence of crowd behavior. Moreover, the framework is supposed to allow the simulation of many diverse scenarios. In order to achieve these goals, the system has to offer a maximum level of flexibility by following software engineering best practices. In this paper, we will explain the customizable architecture of WALK, which enables scientists from different fields, e.g. psychology and computer science, to use it as a testbed for their studies.

Suggested Citation

  • Stefan Münchow & Ia Enukidze & Stefan Sarstedt & Thomas Thiel-Clemen, 2014. "WALK: A Modular Testbed for Crowd Evacuation Simulation," Springer Books, in: Ulrich Weidmann & Uwe Kirsch & Michael Schreckenberg (ed.), Pedestrian and Evacuation Dynamics 2012, edition 127, pages 1417-1424, Springer.
  • Handle: RePEc:spr:sprchp:978-3-319-02447-9_118
    DOI: 10.1007/978-3-319-02447-9_118
    as

    Download full text from publisher

    To our knowledge, this item is not available for download. To find whether it is available, there are three options:
    1. Check below whether another version of this item is available online.
    2. Check on the provider's web page whether it is in fact available.
    3. Perform a
    for a similarly titled item that would be available.

    More about this item

    Keywords

    ;
    ;
    ;

    Statistics

    Access and download statistics

    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:spr:sprchp:978-3-319-02447-9_118. 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: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.com .

    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.