(Translated by https://www.hiragana.jp/)
Developing and evaluating a coordinated person-based signal control paradigm in a corridor network
IDEAS home Printed from https://ideas.repec.org/a/taf/transp/v45y2022i6p498-523.html
   My bibliography  Save this article

Developing and evaluating a coordinated person-based signal control paradigm in a corridor network

Author

Listed:
  • Zongyuan Wu
  • Ben Waterson
  • Bani Anvari

Abstract

Connected Vehicles (CVs) provide both vehicle trajectory data and occupancy information to the junction controller, which make person-based signal controls to be possible by realizing the importance of reducing person delay. This study presents a coordinated person-based signal control algorithm (C-PBC), which has extended a previously developed approach from isolated junctions to multiple junctions. C-PBC incorporates vehicle information that is outside the CV communication range from the adjacent junction. It also updates data inputs for signal optimization algorithms based on formulated different arrival vehicle trajectory situations and coordinated data supplement algorithms. The developed algorithm has been evaluated using simulation with benchmarking signal control methods under a variety of scenarios involving CV penetration rates and predictive horizons. The results indicate that C-PBC is able to significantly improve person delay reduction when compared with fixed time control and vehicle-based control using CV data in 100% CV penetration rate under saturated flow conditions.

Suggested Citation

  • Zongyuan Wu & Ben Waterson & Bani Anvari, 2022. "Developing and evaluating a coordinated person-based signal control paradigm in a corridor network," Transportation Planning and Technology, Taylor & Francis Journals, vol. 45(6), pages 498-523, August.
    • Handle: RePEc:taf:transp:v:45:y:2022:i:6:p:498-523
    DOI: 10.1080/03081060.2022.2134128
    as

    Download full text from publisher

    File URL: http://hdl.handle.net/10.1080/03081060.2022.2134128
    Download Restriction: Access to full text is restricted to subscribers.
    File URL: https://libkey.io/10.1080/03081060.2022.2134128?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:45:y:2022:i:6:p:498-523. 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.