IDEAS home Printed from https://ideas.repec.org/h/spr/sprchp/978-3-319-33482-0_33.html
   My bibliography  Save this book chapter

Adaptive Tactical Decisions in Pedestrian Simulation: A Hybrid Agent Approach

In: Traffic and Granular Flow '15

Author

Listed:
  • Luca Crociani

    (CSAI Research Center, University of Milano-Bicocca)

  • Giuseppe Vizzari

    (CSAI Research Center, University of Milano-Bicocca)

  • Stefania Bandini

    (CSAI Research Center, University of Milano-Bicocca
    RCAST, The University of Tokyo)

Abstract

This paperCrociani, Luca presentsVizzari, Giuseppe the tacticalBandini, Stefania level component of a hybrid agent architecture in which these decisions are enacted at the operational level by means of a floor-field based model, in a discrete simulation approach. This allows the agent to take decisions based on a static a-priori knowledge of the environment and dynamic perceivable information on the current level of congestion of visible path alternatives.

Suggested Citation

  • Luca Crociani & Giuseppe Vizzari & Stefania Bandini, 2016. "Adaptive Tactical Decisions in Pedestrian Simulation: A Hybrid Agent Approach," Springer Books, in: Victor L. Knoop & Winnie Daamen (ed.), Traffic and Granular Flow '15, pages 257-264, Springer.
    • Handle: RePEc:spr:sprchp:978-3-319-33482-0_33
    DOI: 10.1007/978-3-319-33482-0_33
    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:978-3-319-33482-0_33. 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.