IDEAS home Printed from https://ideas.repec.org/a/eee/phsmap/v621y2023ics0378437123003552.html
   My bibliography  Save this article

Dynamic model for traffic concentration and congestion near bridge

Author

Listed:
  • Nagatani, Takashi

Abstract

We study the traffic flow and congestion near a bridge when many cars flow into the roads connecting a bridge at morning peak. We present a mathematical dynamic model for simulating the traffic concentration and congestion near the bridge. The dynamic model is described by differential equations on the decorated one-dimensional lattice with multiple inflows and outflows. The macroscopic dynamic equations of vehicular densities are derived. The time evolution of densities and currents is shown by solving the density equations numerically. It is clarified how and where traffic congestion generates due to a flood of cars near the bridge.

Suggested Citation

  • Nagatani, Takashi, 2023. "Dynamic model for traffic concentration and congestion near bridge," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 621(C).
    • Handle: RePEc:eee:phsmap:v:621:y:2023:i:c:s0378437123003552
    DOI: 10.1016/j.physa.2023.128800
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0378437123003552
    Download Restriction: Full text for ScienceDirect subscribers only. Journal offers the option of making the article available online on Science direct for a fee of $3,000
    File URL: https://libkey.io/10.1016/j.physa.2023.128800?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    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:eee:phsmap:v:621:y:2023:i:c:s0378437123003552. 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: Catherine Liu (email available below). General contact details of provider: http://www.journals.elsevier.com/physica-a-statistical-mechpplications/ .

    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.