IDEAS home Printed from https://ideas.repec.org/a/eee/transa/v184y2024ics0965856424001381.html
   My bibliography  Save this article

Modeling impacts of freight automated vehicles in the Greater Toronto and Hamilton Area

Author

Listed:
  • Chowdhury, Tufayel
  • Vaughan, James
  • Roorda, Matthew J.

Abstract

Automated vehicle (AV) technology will bring about disruptive changes to transportation of people and goods. To better understand such changes through macroscopic modeling, studies so far predominantly focused on passenger AVs. This paper examines the impacts of freight AVs at the network level in the Greater Toronto and Hamilton Area (GTHA), Canada. This is achieved by implementing several automation scenarios in a recently developed commercial vehicle model for the GTHA. The scenarios are designed based on some of the anticipated changes in vehicle technology and the freight logistics market. They represent a range of possibilities that may occur at partial and full market adoption of freight AVs. Model results suggest that network-level congestion will increase in the near term when automated trucks operate alongside human-driven trucks and are allowed on the freeways only. However, with full market adoption, the network will be less congested compared to no automation, even if “induced” truck demand is accounted for. The overall truck vehicle kilometers travelled (VKT) will increase during partial and full truck automation.

Suggested Citation

  • Chowdhury, Tufayel & Vaughan, James & Roorda, Matthew J., 2024. "Modeling impacts of freight automated vehicles in the Greater Toronto and Hamilton Area," Transportation Research Part A: Policy and Practice, Elsevier, vol. 184(C).
    • Handle: RePEc:eee:transa:v:184:y:2024:i:c:s0965856424001381
    DOI: 10.1016/j.tra.2024.104090
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0965856424001381
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.tra.2024.104090?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:eee:transa:v:184:y:2024:i:c:s0965856424001381. 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/547/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.