IDEAS home Printed from https://ideas.repec.org/a/eee/transb/v211y2026ics0191261526001165.html

Can lane-changing preferences of connected and autonomous vehicles induce spontaneous platoon formation?

Author

Listed:
  • Wang, Hao
  • Ding, Xuelin
  • Ma, Ke

Abstract

Connected and Automated Vehicles (CAVs) achieve a headway gain when following other CAVs. This study defines two key factors: the CAV cluster factor and the headway gain. We analytically examined the capacity of a single-lane Manual Vehicle (MV)-CAV mixed flow related to these factors and the CAV market penetration rate. Furthermore, this paper reveals that this headway gain induces a preferential lane-changing behavior in CAVs, making them more inclined to choose to follow other CAVs. This preference promotes the spontaneous formation of CAV platoons. By analyzing four types of lane-changing scenarios, the study derives an expression for the CAV cluster factor in multi-lane MV-CAV mixed flows. Simulation experiments validated the theoretical findings and demonstrated that the CAV cluster factor in multi-lane mixed flows is primarily determined by the headway gain and the CAV market penetration rate. It exhibits independence from the specific longitudinal control laws of CAVs, the car-following behavior of MVs, and whether lane-changing decisions incorporate the speed of the leading vehicle. Although CAVs’ lane-changing preferences can contribute to the formation of larger spontaneous platoons, this effect remains limited. Under higher traffic densities, lane-changing opportunities are significantly diminished, which inhibit the influence of lane-changing preferences, causing the degree of CAV clustering in multilane flows to approach that observed in single-lane scenarios.

Suggested Citation

  • Wang, Hao & Ding, Xuelin & Ma, Ke, 2026. "Can lane-changing preferences of connected and autonomous vehicles induce spontaneous platoon formation?," Transportation Research Part B: Methodological, Elsevier, vol. 211(C).
  • Handle: RePEc:eee:transb:v:211:y:2026:i:c:s0191261526001165
    DOI: 10.1016/j.trb.2026.103504
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0191261526001165
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.trb.2026.103504?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

    for a different version of it.

    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:eee:transb:v:211:y:2026:i:c:s0191261526001165. 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.elsevier.com/wps/find/journaldescription.cws_home/548/description#description .

    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.