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
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