IDEAS home Printed from https://ideas.repec.org/h/spr/sprchp/978-3-662-10583-2_33.html

Traffic Flow Analysis Based on Multiagent

In: Traffic and Granular Flow’01

Author

Listed:
  • H. Tsunashima

    (Nihon University, College of Industrial Technology)

  • Y. Nishi

    (Nihon University, College of Industrial Technology)

  • T. Honjyo

    (Nihon University, College of Industrial Technology)

  • T. Sakai

    (Nihon University, College of Industrial Technology)

Abstract

In recent years, in line with the greater use of automobiles, traffic congestions have frequently occurred on city streets and on highways due to the effects of increases in traffic volume, the greater complication of the road system, the operational mistakes of drivers, etc. This has been taken up as a serious traffic problem. In order to discuss methods of solving this problem, research and developmental work on traffic flow simulators by computer is being carried out. However, the dynamics of vehicles and their driver’s characteristics, which are important factors for any traffic flow analysis, have not been considered sufficiently enough in the past. In this study, we propose, as an intermediate model between macroscopic models and microscopic ones, an analytical technique based on multiagent, which allows for the consideration of the driver characteristics, vehicle dynamics in complex traffic flow as shown in Fig. 1.

Suggested Citation

  • H. Tsunashima & Y. Nishi & T. Honjyo & T. Sakai, 2003. "Traffic Flow Analysis Based on Multiagent," Springer Books, in: Minoru Fukui & Yuki Sugiyama & Michael Schreckenberg & Dietrich E. Wolf (ed.), Traffic and Granular Flow’01, pages 337-343, Springer.
  • Handle: RePEc:spr:sprchp:978-3-662-10583-2_33
    DOI: 10.1007/978-3-662-10583-2_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:978-3-662-10583-2_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.