IDEAS home Printed from https://ideas.repec.org/h/spr/sprchp/978-3-662-10583-2_58.html
   My bibliography  Save this book chapter

Simulations of Evacuation Using Small World Network

In: Traffic and Granular Flow’01

Author

Listed:
  • N. Ohi

    (Ryukoku University, Department of Applied Mathematics and Informatics)

  • M. Ikai

    (Ryukoku University, Department of Applied Mathematics and Informatics)

  • K. Nishinari

    (Ryukoku University, Department of Applied Mathematics and Informatics)

Abstract

A stochastic cellular automaton(CA) model using Small World Network [5] has been proposed to simulate evacuation of persons from a room with plural exits. The number of persons escaping from each door is studied numerically in several kinds of rooms. Numerical results of them are compared with those calculated according to the law of “Building Standard Art” (BSA) in Japan. The calculations in the BSA are based on a few experimental facts and a simple queue theory, thus we will check how they coincide with our direct simulations. It is found that on average the results of simulations and of the BSA show good agreement though their variations are quite large. The effect of the SWN is seen in the total time of evacuation from the room, which becomes the maximum value in this case. Since the transmition speed of information is high in the SWN, it is seen that many people will rush into the door simultaneously and they cannot move freely due to congestion.

Suggested Citation

  • N. Ohi & M. Ikai & K. Nishinari, 2003. "Simulations of Evacuation Using Small World Network," Springer Books, in: Minoru Fukui & Yuki Sugiyama & Michael Schreckenberg & Dietrich E. Wolf (ed.), Traffic and Granular Flow’01, pages 555-559, Springer.
  • Handle: RePEc:spr:sprchp:978-3-662-10583-2_58
    DOI: 10.1007/978-3-662-10583-2_58
    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:978-3-662-10583-2_58. 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.