Title :
Conflict-Probability-Estimation-Based Overtaking for Intelligent Vehicles
Author :
Wang, Fenghui ; Yang, Ming ; Yang, Ruqing
Author_Institution :
Inst. of Robot., Shanghai Jiao Tong Univ., Shanghai
fDate :
6/1/2009 12:00:00 AM
Abstract :
Overtaking is a complex and hazardous driving maneuver for intelligent vehicles. When to initiate overtaking and how to complete overtaking are critical issues for an overtaking intelligent vehicle. We propose an overtaking control method based on the estimation of the conflict probability. This method uses the conflict probability as the safety indicator and completes overtaking by tracking a safe conflict probability. The conflict probability is estimated by the future relative position of intelligent vehicles, and the future relative position is estimated by using the dynamics models of the intelligent vehicles. The proposed method uses model predictive control to track a desired safe conflict probability and synthesizes decision making and control of the overtaking maneuver. The effectiveness of this method has been validated in different experimental configurations, and the effects of some parameters in this control method have also been investigated.
Keywords :
decision making; estimation theory; intelligent control; predictive control; probability; road safety; road traffic; road vehicles; vehicle dynamics; conflict probability estimation; decision making; future relative position; intelligent vehicle; overtaking control method; predictive control; safety indicator; vehicle dynamics; Conflict probability; intelligent vehicles; overtaking;
Journal_Title :
Intelligent Transportation Systems, IEEE Transactions on
DOI :
10.1109/TITS.2009.2020200