IDEAS home Printed from https://ideas.repec.org/h/spr/sprchp/978-3-319-10629-8_31.html
   My bibliography  Save this book chapter

An Expanded Concept of the “Borrowed Time” in Pedestrian Dynamics Simulations

In: Traffic and Granular Flow '13

Author

Listed:
  • Marcin Mycek

    (AGH University of Science and Technology, Department of Applied Computer Science)

  • Robert Lubaś

    (AGH University of Science and Technology, Department of Applied Computer Science)

  • Jakub Porzycki

    (AGH University of Science and Technology, Department of Applied Computer Science)

  • Jarosław Wąs

    (AGH University of Science and Technology, Department of Applied Computer Science)

Abstract

Discretization in numerical simulations holds big advantage of decreasing complexity of calculations, allowing for faster and larger-scale simulations. However, such a procedure leads to emergence of unwanted phenomena due to finite space and/or time resolution. For this reason when space is discretized usually regular lattices are used as they preserve highest rotational and translational symmetry. Highest natural isotropy is obtained by using hexagonal grid. However, for pedestrian dynamics applications due to natural tendency of humans to build square-based buildings and typical big size of the cell square grid allows drastically better space representation. This paper describes how a borrowed time concept can be used to reduce anisotropy in pedestrian dynamics simulations using regular square grid without increasing complexity of the calculation. A simple case of pedestrian movement using expanded borrowed time concept is described and compared with basic approach. A method for generating static potential field with higher isotropy is shown as well.

Suggested Citation

  • Marcin Mycek & Robert Lubaś & Jakub Porzycki & Jarosław Wąs, 2015. "An Expanded Concept of the “Borrowed Time” in Pedestrian Dynamics Simulations," Springer Books, in: Mohcine Chraibi & Maik Boltes & Andreas Schadschneider & Armin Seyfried (ed.), Traffic and Granular Flow '13, edition 127, pages 257-263, Springer.
    • Handle: RePEc:spr:sprchp:978-3-319-10629-8_31
    DOI: 10.1007/978-3-319-10629-8_31
    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:978-3-319-10629-8_31. 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.