• DocumentCode
    2275514
  • Title

    Collision Avoidance Warning for Safe Lane Change

  • Author

    Tomar, R.S. ; Verma, Shalini ; Kushwah, Rajendra Singh ; Tomar, G.S.

  • Author_Institution
    ITM Univ., Gwalior, India
  • fYear
    2013
  • fDate
    6-8 April 2013
  • Firstpage
    385
  • Lastpage
    389
  • Abstract
    Lane change (LC) is a voluntary maneuver that allows drivers to enter into a lane that suits their requirements and comfort. A safe LC process requires the driver to assess its neighborhood traffic in its original and target lanes before undertaking the maneuver. An erroneous assessment by LC vehicle or neighboring vehicles may result in an incorrect maneuver that can result in a collision. In the present paper, SVM (Support Vector Machine) is used for long term forecast of the lane change trajectory using the past state of the vehicle and its neighboring vehicles. Results with actual field data indicate that SVM is able to predict LC trajectory with sufficient accuracy. This collision can be prevented if the future LC trajectory can be forecast and the maneuver is executed only if it is predicted to safe. The dashboard may be equipped with warning may be displayed to warn of an unsafe LC maneuver. If driver persists with the unsafe maneuver, an automatic cruise control (ACC) may take over to abort the procedure.
  • Keywords
    collision avoidance; control engineering computing; road traffic control; road vehicles; support vector machines; ACC; LC trajectory prediction; LC vehicle; SVM; automatic cruise control; collision avoidance warning; lane change trajectory; long term forecasting; neighborhood traffic; neighboring vehicles; safe LC process; safe lane change; support vector machine; Acceleration; Roads; Safety; Support vector machines; Trajectory; Vehicles; Driver Behavior; Lane Change (LC); Lane Change Trajectory; Support Vector Machine (SVM);
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Communication Systems and Network Technologies (CSNT), 2013 International Conference on
  • Conference_Location
    Gwalior
  • Print_ISBN
    978-1-4673-5603-9
  • Type

    conf

  • DOI
    10.1109/CSNT.2013.87
  • Filename
    6524424