IDEAS home Printed from https://ideas.repec.org/a/taf/transp/v44y2021i2p129-138.html
   My bibliography  Save this article

Exploring the impact of connected and autonomous vehicles on mobility and environment at signalized intersections through vehicle-to-infrastructure (V2I) and infrastructure-to-vehicle (I2V) communications

Author

Listed:
  • Pengfei Liu
  • Wei David Fan

Abstract

Connected and autonomous vehicle (CAV) technologies are expected to improve the quality of intersection operations through Vehicle-to-Infrastructure (V2I) and Infrastructure-to-Vehicle (I2V) communications. This study investigates mobility and environmental impacts of CAVs on signalized intersections. With I2V communication capability, CAVs are able to receive the real-time traffic signal information while approaching the intersections. A speed control strategy for CAVs is developed and optimal speeds for CAVs are calculated based on their locations and signal conditions. The analysis is conducted in a mixed traffic environment with combination of regular vehicles, autonomous vehicles, and CAVs. The vehicle delay and emissions at the selected intersection are quantified with respect to different market penetration rates of CAVs. The results indicate that CAVs can reduce vehicle delay by as much as 46.06% and 33.47% in emissions compared to regular vehicles. The proposed strategy can effectively improve the mobility and environment at signalized intersections.

Suggested Citation

  • Pengfei Liu & Wei David Fan, 2021. "Exploring the impact of connected and autonomous vehicles on mobility and environment at signalized intersections through vehicle-to-infrastructure (V2I) and infrastructure-to-vehicle (I2V) communicat," Transportation Planning and Technology, Taylor & Francis Journals, vol. 44(2), pages 129-138, February.
    • Handle: RePEc:taf:transp:v:44:y:2021:i:2:p:129-138
    DOI: 10.1080/03081060.2020.1868088
    as

    Download full text from publisher

    File URL: http://hdl.handle.net/10.1080/03081060.2020.1868088
    Download Restriction: Access to full text is restricted to subscribers.
    File URL: https://libkey.io/10.1080/03081060.2020.1868088?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.

    More about this item

    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:taf:transp:v:44:y:2021:i:2:p:129-138. 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: Chris Longhurst (email available below). General contact details of provider: http://www.tandfonline.com/GTPT20 .

    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.