Advanced Urban Transport: Automation Is on the Way
IEEE Intelligent Systems
IEEE Transactions on Intelligent Transportation Systems
Automated lane change controller design
IEEE Transactions on Intelligent Transportation Systems
Research advances in intelligent collision avoidance and adaptive cruise control
IEEE Transactions on Intelligent Transportation Systems
Lane-Change Fuzzy Control in Autonomous Vehicles for the Overtaking Maneuver
IEEE Transactions on Intelligent Transportation Systems
Intelligent automatic overtaking system using vision for vehicle detection
Expert Systems with Applications: An International Journal
Electric scaled vehicle as ITS experimentation platform
EUROCAST'11 Proceedings of the 13th international conference on Computer Aided Systems Theory - Volume Part II
Journal of Intelligent and Robotic Systems
Modeling and simulation of overtaking behavior involving environment
Advances in Engineering Software
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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.