IDEAS home Printed from https://ideas.repec.org/a/hin/complx/1616420.html
   My bibliography  Save this article

A Safety Collision Avoidance Algorithm Based on Comprehensive Characteristics

Author

Listed:
  • Y. J. Zhang
  • F. Du
  • J. Wang
  • L. S. Ke
  • M. Wang
  • Y. Hu
  • M. Yu
  • G. H. Li
  • A. Y. Zhan

Abstract

Aiming at the requirements of vehicle safety collision avoidance system, a safety collision avoidance algorithm based on environmental characteristics and driver characteristics is proposed. By analyzing the relationship between collision avoidance time and the environment, a safety time model is established. In the established safety time model, parameters based on driver characteristics are added, which increases the flexibility of the algorithm. The algorithm can adapt to more different driving conditions and give appropriate warning thresholds. After simulation and comparison with other algorithms, the algorithm proposed in this paper can satisfied the requirements of reducing vehicle collision risk. The effectiveness and feasibility of the algorithm are verified, and the safety of vehicle driving can be improved.

Suggested Citation

  • Y. J. Zhang & F. Du & J. Wang & L. S. Ke & M. Wang & Y. Hu & M. Yu & G. H. Li & A. Y. Zhan, 2020. "A Safety Collision Avoidance Algorithm Based on Comprehensive Characteristics," Complexity, Hindawi, vol. 2020, pages 1-13, March.
    • Handle: RePEc:hin:complx:1616420
    DOI: 10.1155/2020/1616420
    as

    Download full text from publisher

    File URL: http://downloads.hindawi.com/journals/8503/2020/1616420.pdf
    Download Restriction: no
    File URL: http://downloads.hindawi.com/journals/8503/2020/1616420.xml
    Download Restriction: no
    File URL: https://libkey.io/10.1155/2020/1616420?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
    ---><---

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Rui Fu & Yunxing Chen & Qingjin Xu & Yuxi Guo & Wei Yuan, 2020. "A Comparative Study of Accident Risk Related to Speech-Based and Handheld Texting during a Sudden Braking Event in Urban Road Environments," IJERPH, MDPI, vol. 17(16), pages 1-18, August.

    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:complx:1616420. 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.