IDEAS home Printed from https://ideas.repec.org/a/eee/phsmap/v637y2024ics0378437124000487.html
   My bibliography  Save this article

A platoon-based eco-driving control mechanism for low-density traffic flow

Author

Listed:
  • Liu, Qingling
  • Xu, Xiaowen

Abstract

Forming traffic into platoons on the road has the potential for mitigation of traffic congestion and improvement in fuel economy, and can be more readily achieved by leveraging emerging connected and automated vehicles. This paper proposes a platoon-based eco-driving control mechanism that forms small-sized platoons and guides them to move on low-density traffic corridors. To facilitate this investigation, a low-density traffic corridor is divided into an initial road segment plus a series of subsequent road segments. To ensure computational efficiency, an approximate model based on the predefined function is employed. Simulation shows that traffic flow of small-sized platoons can bring considerable benefits in fuel consumption compared to that of large-sized platoons. This proposed control mechanism is shown to be significant in fuel economy.

Suggested Citation

  • Liu, Qingling & Xu, Xiaowen, 2024. "A platoon-based eco-driving control mechanism for low-density traffic flow," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 637(C).
  • Handle: RePEc:eee:phsmap:v:637:y:2024:i:c:s0378437124000487
    DOI: 10.1016/j.physa.2024.129540
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0378437124000487
    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.2024.129540?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:637:y:2024:i:c:s0378437124000487. 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.