IDEAS home Printed from https://ideas.repec.org/h/spr/sprchp/978-3-319-02447-9_15.html
   My bibliography  Save this book chapter

Crowd Guidance in Building Emergencies: Using Virtual Reality Experiments to Confirm Macroscopic Mathematical Modeling of Psychological Variables

In: Pedestrian and Evacuation Dynamics 2012

Author

Listed:
  • Kerry L. Marsh

    (University of Connecticut, Department of Psychology)

  • Christian T. Wilkie

    (University of Connecticut, Department of Electrical and Computer Engineering)

  • Peter B. Luh

    (University of Connecticut, Department of Electrical and Computer Engineering)

  • Zhenxiang Zhang

    (University of Connecticut, Advanced Interactive Technology Center (AITC), Center for Health, Intervention, and Prevention)

  • Timothy Gifford

    (University of Connecticut, Department of Psychology
    University of Connecticut, Advanced Interactive Technology Center (AITC), Center for Health, Intervention, and Prevention)

  • Neal Olderman

    (University of Connecticut, Center for Continuing Studies)

Abstract

A general challenge during a building emergency evacuation is guiding crowd to the best exits, given potential hazards and blockages due to high density use. Although computer simulation programs such as FDS+Evac allow researchers to evaluate various guidance policies under different circumstances, computational complexity limits their use during an actual emergency. A second limitation of such programs currently available is that they can only model certain psychological variables that affect evacuation. We suggest two innovations to address these difficulties. First, using macroscopic models, mathematical techniques can allow for rapid optimization of guidance that could eventually be used to provide real-time use during emergencies. Second, we conduct virtual reality experiments using human participants to provide confirmation of our models, and offer insights into how psychological factors not yet available in FDS+Evac will affect evacuation outcomes. Results of an initial VR experiment are presented.

Suggested Citation

  • Kerry L. Marsh & Christian T. Wilkie & Peter B. Luh & Zhenxiang Zhang & Timothy Gifford & Neal Olderman, 2014. "Crowd Guidance in Building Emergencies: Using Virtual Reality Experiments to Confirm Macroscopic Mathematical Modeling of Psychological Variables," Springer Books, in: Ulrich Weidmann & Uwe Kirsch & Michael Schreckenberg (ed.), Pedestrian and Evacuation Dynamics 2012, edition 127, pages 197-212, Springer.
  • Handle: RePEc:spr:sprchp:978-3-319-02447-9_15
    DOI: 10.1007/978-3-319-02447-9_15
    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_15. 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.