IDEAS home Printed from https://ideas.repec.org/a/inm/ortrsc/v55y2021i5p969-987.html
   My bibliography  Save this article

Rhythmic Control of Automated Traffic—Part I: Concept and Properties at Isolated Intersections

Author

Listed:
  • Xiangdong Chen

    (Department of Civil Engineering, Tsinghua University, 100084 Beijing, People’s Republic of China)

  • Meng Li

    (Department of Civil Engineering, Tsinghua University, 100084 Beijing, People’s Republic of China)

  • Xi Lin

    (Department of Civil Engineering, Tsinghua University, 100084 Beijing, People’s Republic of China)

  • Yafeng Yin

    (Department of Civil and Environmental Engineering, University of Michigan, Ann Arbor, Michigan 48109; Department of Industrial and Operations Engineering, University of Michigan, Ann Arbor, Michigan 48109)

  • Fang He

    (Department of Industrial Engineering, Tsinghua University, 100084 Beijing, People’s Republic of China)

Abstract

Leveraging the accuracy and consistency of vehicle motion control enabled by the connected and automated vehicle technology, we propose the rhythmic control (RC) scheme that allows vehicles to pass through an intersection in a conflict-free manner with a preset rhythm. The rhythm enables vehicles to proceed at a constant speed without any stop. The RC is capable of breaking the limitation that right-of-way can only be allocated to nonconflicting movements at a time. It significantly improves the performance of intersection control for automated traffic. Moreover, the RC with a predetermined rhythm does not require intensive computational efforts to dynamically control vehicles, which may possibly lead to frequent accelerations or decelerations. Assuming stationary vehicle arrivals, we conduct a theoretical investigation to show that RC can considerably increase intersection capacity and reduce vehicle delay. Finally, the performance of RC is tested in the simulations with both stationary and nonstationary vehicle arrivals at both symmetric and asymmetric intersections.

Suggested Citation

  • Xiangdong Chen & Meng Li & Xi Lin & Yafeng Yin & Fang He, 2021. "Rhythmic Control of Automated Traffic—Part I: Concept and Properties at Isolated Intersections," Transportation Science, INFORMS, vol. 55(5), pages 969-987, September.
  • Handle: RePEc:inm:ortrsc:v:55:y:2021:i:5:p:969-987
    DOI: 10.1287/trsc.2021.1060
    as

    Download full text from publisher

    File URL: http://dx.doi.org/10.1287/trsc.2021.1060
    Download Restriction: no

    File URL: https://libkey.io/10.1287/trsc.2021.1060?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
    ---><---

    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:inm:ortrsc:v:55:y:2021:i:5:p:969-987. 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 Asher (email available below). General contact details of provider: https://edirc.repec.org/data/inforea.html .

    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.