IDEAS home Printed from https://ideas.repec.org/a/eee/phsmap/v347y2005icp673-682.html
   My bibliography  Save this article

Self-similar behavior of a single vehicle through periodic traffic lights

Author

Listed:
  • Nagatani, Takashi

Abstract

We study the dynamical behavior of a single vehicle moving through a sequence of traffic lights on a single-lane highway, where the traffic lights turn on and off periodically with the synchronized or green-wave strategies. The dynamical model of the vehicle controlled by traffic lights is expressed in terms of the nonlinear map. The tour time of the vehicle exhibits a complex behavior, interacting with the sequence of traffic lights. The dynamical behavior of signal traffic at a low density changes at ts=l/v+τ, where l is the distance between the traffic lights, v the mean speed of the vehicle, and τ the delay of traffic light at the green-wave strategy. When the cycle time ts of traffic lights is less than (l/v+τ), the vehicle exhibits the self-similar behavior, while it shows the periodic behavior for ts>(l/v+τ). The characteristics of the self-similar behavior is clarified.

Suggested Citation

  • Nagatani, Takashi, 2005. "Self-similar behavior of a single vehicle through periodic traffic lights," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 347(C), pages 673-682.
  • Handle: RePEc:eee:phsmap:v:347:y:2005:i:c:p:673-682
    DOI: 10.1016/j.physa.2004.08.007
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0378437104010702
    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.2004.08.007?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.

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Nagatani, Takashi & Nagai, Ryoichi, 2005. "Chaotic and periodic motions of two competing vehicles controlled by traffic lights," Chaos, Solitons & Fractals, Elsevier, vol. 25(1), pages 245-253.
    2. Yuan, PengCheng & Lin, XuXun, 2017. "How long will the traffic flow time series keep efficacious to forecast the future?," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 467(C), pages 419-431.

    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:347:y:2005:i:c:p:673-682. 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.