IDEAS home Printed from https://ideas.repec.org/a/wsi/ijmpcx/v33y2022i02ns0129183122500206.html
   My bibliography  Save this article

Optimization of lane-changing advisory of connected and autonomous vehicles at a multi-lane work zone

Author

Listed:
  • Wenjing Wu

    (School of Transportation, Jilin University, No. 5988 Renmin Street, Changchun 130022, P. R. China)

  • Yongbin Zhan

    (School of Transportation, Jilin University, No. 5988 Renmin Street, Changchun 130022, P. R. China)

  • Lili Yang

    (School of Transportation, Jilin University, No. 5988 Renmin Street, Changchun 130022, P. R. China)

  • Renchao Sun

    (School of Transportation, Jilin University, No. 5988 Renmin Street, Changchun 130022, P. R. China)

  • Anning Ni

    (��School of Naval Architecture Ocean & Civil Engineering, Shanghai Jiao Tong University, No. 800 Dongchuan Road, Shanghai 200240, P. R. China)

Abstract

The work zone with lane closure will be an active bottleneck due to vehicles’ mandatory lane-changing conflicts. The emerging Connected Autonomous Vehicle (CAV) technology provides opportunities for vehicle motion planning to improve traffic performance. However, the literature using CAV technology mainly focuses on single-lane lane-changing control in the merging area. The algorithm dealing with multi-lane lane-changing control is absent. In this paper, a simulation system with a lane-changing optimal strategy embedded for the multi-lane work zone is presented under the heterogeneous traffic flow. First, the road upstream of the work zone is divided into several segments, and an optimal multi-lane lane-changing algorithm is designed. It is recommended that CAVs, on the closure lane and the merged lane, change lanes on each segment to balance traffic distribution and minimize traffic delay. Second, to validate the algorithm proposed, a typical three-lane freeway with one-lane closed for the work zone is researched, and the simulation platform based on cellular automata is developed. Third, the advantages of multi-lane control strategies are studied and discussed in traffic efficiency improvement and collision risk reduction by comparing previous lane-changing control algorithms.

Suggested Citation

  • Wenjing Wu & Yongbin Zhan & Lili Yang & Renchao Sun & Anning Ni, 2022. "Optimization of lane-changing advisory of connected and autonomous vehicles at a multi-lane work zone," International Journal of Modern Physics C (IJMPC), World Scientific Publishing Co. Pte. Ltd., vol. 33(02), pages 1-16, February.
    • Handle: RePEc:wsi:ijmpcx:v:33:y:2022:i:02:n:s0129183122500206
    DOI: 10.1142/S0129183122500206
    as

    Download full text from publisher

    File URL: http://www.worldscientific.com/doi/abs/10.1142/S0129183122500206
    Download Restriction: Access to full text is restricted to subscribers
    File URL: https://libkey.io/10.1142/S0129183122500206?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:wsi:ijmpcx:v:33:y:2022:i:02:n:s0129183122500206. 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: Tai Tone Lim (email available below). General contact details of provider: http://www.worldscinet.com/ijmpc/ijmpc.shtml .

    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.