IDEAS home Printed from https://ideas.repec.org/p/oec/itfaab/2017-07-en.html
   My bibliography  Save this paper

Automation of the Driving Task: Some possible consequences and governance challenges

Author

Listed:
  • Tom Cohen

    (UCL Centre for Transport Studies)

  • Clémence Cavoli

    (UCL Centre for Transport Studies)

Abstract

The possible consequences of the advent of fully automated vehicles (AVs) for personal transport are assessed. A shared-user model is considered preferable to an owner-user model; public-sector intervention is considered necessary to secure the successful integration of AVs with mass transit. Interurban expressways are found to offer a better opportunity than urban roads of capturing the vehicles' potential traffic and safety benefits. AVs' performance in a mixed-fleet scenario is highly dependent on segregation from other road users, but segregation poses significant challenges.The governance of a range of themes (such as demand management and security) is considered. In each case, challenges to achieving a socially desirable outcome are identified. Both laissez-faire and more interventionist styles of governance with respect to AVs present problems but laissez faire may carry greater risk. Decisions on governance should be based on meaningful dialogue with those who stand to be affected.

Suggested Citation

  • Tom Cohen & Clémence Cavoli, 2017. "Automation of the Driving Task: Some possible consequences and governance challenges," International Transport Forum Discussion Papers 2017/07, OECD Publishing.
  • Handle: RePEc:oec:itfaab:2017/07-en
    DOI: 10.1787/b44b0242-en
    as

    Download full text from publisher

    File URL: https://doi.org/10.1787/b44b0242-en
    Download Restriction: no

    File URL: https://libkey.io/10.1787/b44b0242-en?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
    ---><---

    More about this item

    NEP fields

    This paper has been announced in the following NEP Reports:

    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:oec:itfaab:2017/07-en. 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: the person in charge (email available below). General contact details of provider: https://edirc.repec.org/data/itoecfr.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.