• DocumentCode
    154486
  • Title

    A rear-end collision avoidance system of connected vehicles

  • Author

    Liang Li ; Guangquan Lu ; Yunpeng Wang ; Daxin Tian

  • Author_Institution
    Sch. of Transp. Sci. & Eng., Beihang Univ., Beijing, China
  • fYear
    2014
  • fDate
    8-11 Oct. 2014
  • Firstpage
    63
  • Lastpage
    68
  • Abstract
    The rear-end collision is one of the main types of accident, and it brings unnecessary casualties and property losses. Aiming at reducing the rear-end collision, some researchers focus on the front collision avoidance system. Generally, the rear-end collision avoidance system detects risk situation based on the information collected by radar or camera. When the following car is in risk of crash, the system will inform or warn the driver that the current speed is not safe, and help drivers to decelerate or brake. With the development of vehicle-to-vehicle communication (V2V), a new way to develop the rear-end collision avoidance system is put forward. By using the connected vehicles, the system can collect information and share message through the communicate equipment. In this paper, we introduce a collision avoidance system which is based on the vehicle-to-vehicle communication. This rear-end collision avoidance is with some driver behavior by using a car-following model based on risk perception. At last, we provide some experimental date about collision avoidance, and demonstrate the feasibility of this system in risk detection and crash avoidance.
  • Keywords
    collision avoidance; risk analysis; traffic information systems; vehicular ad hoc networks; camera; car-following model; communicate equipment; connected vehicles; crash avoidance; driver behavior; message sharing; radar; rear-end collision avoidance system; risk detection; risk perception; risk situation; vehicle-to-vehicle communication; Acceleration; Collision avoidance; Global Positioning System; Market research; Safety; Vehicle crash testing; Vehicles;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Intelligent Transportation Systems (ITSC), 2014 IEEE 17th International Conference on
  • Conference_Location
    Qingdao
  • Type

    conf

  • DOI
    10.1109/ITSC.2014.6957667
  • Filename
    6957667