IDEAS home Printed from https://ideas.repec.org/a/hin/jnlmpe/838929.html
   My bibliography  Save this article

Performance Improvement of Collision Warning System on Curved Road Based on Intervehicle Communication

Author

Listed:
  • Hong Cho
  • Byeong-woo Kim

Abstract

The vehicle on-board sensor based Advanced Driver Assistant System possesses limitations on a small road with a small radius of curvature because of the sensor’s inability to operate in nondetectable domains. This study suggests an Improved Cooperative Collision Warning System (ICCWS) that considers the curvature of the road and is based on intervehicle communication. To predict the radius of curvature of the road, the Arc Relative Distance (ARD), the real relative distance to a preceding vehicle on a curved road has been used. The risk of collision with the preceding vehicle is decided by calculating an index of the risk of collision on a curved road using the computed ARD. The effects of ICCWS, proposed through this simulation, have been reviewed, and the improvement in performance in following a preceding vehicle has been analyzed quantitatively via comparative analysis with the conventional forward collision warning system. Accordingly, if the estimating algorithm for curvature developed in this study is applied to a real system, the performance of following a preceding vehicle can be improved without any specific changes to the system.

Suggested Citation

  • Hong Cho & Byeong-woo Kim, 2015. "Performance Improvement of Collision Warning System on Curved Road Based on Intervehicle Communication," Mathematical Problems in Engineering, Hindawi, vol. 2015, pages 1-7, July.
    • Handle: RePEc:hin:jnlmpe:838929
    DOI: 10.1155/2015/838929
    as

    Download full text from publisher

    File URL: http://downloads.hindawi.com/journals/MPE/2015/838929.pdf
    Download Restriction: no
    File URL: http://downloads.hindawi.com/journals/MPE/2015/838929.xml
    Download Restriction: no
    File URL: https://libkey.io/10.1155/2015/838929?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

    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:hin:jnlmpe:838929. 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: Mohamed Abdelhakeem (email available below). General contact details of provider: https://www.hindawi.com .

    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.