IDEAS home Printed from https://ideas.repec.org/h/spr/sprchp/978-3-642-04504-2_53.html
   My bibliography  Save this book chapter

3-Tier Architecture for Pedestrian Agent in Crowd Simulation

In: Pedestrian and Evacuation Dynamics 2008

Author

Listed:
  • Gao Peng

    (TongJi University, School of Traffic and Transportation Engineering)

  • Xu Ruihua

    (TongJi University, School of Traffic and Transportation Engineering)

Abstract

Summary After extensive investigations and in-depth studies of crowd dynamics with Chinese characteristics, especially in stations of Urban Mass Transit, we proposed a new architecture for agent oriented pedestrian simulation. It’s designed to simulate the movement of thousands of individual pedestrians through large, geometrically complex 2D space. Our PSS (Pedestrian Simulation System for Urban Mass Transit Station) based on this architecture has been developed. The results of the case studies show that the architecture is feasible and effective in simulating intelligent human behaviors. Characteristic by openness and scalability, it can be easily applied to other situations, such as Olympics and Expo, etc.

Suggested Citation

  • Gao Peng & Xu Ruihua, 2010. "3-Tier Architecture for Pedestrian Agent in Crowd Simulation," Springer Books, in: Wolfram W. F. Klingsch & Christian Rogsch & Andreas Schadschneider & Michael Schreckenberg (ed.), Pedestrian and Evacuation Dynamics 2008, pages 585-595, Springer.
  • Handle: RePEc:spr:sprchp:978-3-642-04504-2_53
    DOI: 10.1007/978-3-642-04504-2_53
    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:978-3-642-04504-2_53. 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.