Title :
Collision free autonomous ground traffic: A model predictive control approach
Author_Institution :
Texas A & M Univ., College Station, TX, USA
Abstract :
Even with recent advances in electronics, sensors, and communication technologies, it is still a grand challenge to develop an autonomous transportation system in which each vehicle can autonomously coordinate with other vehicles and drive itself on a road with a safety guarantee. We propose an approach to address this challenge. We formulate a Model Predictive Control (MPC) problem to generate a feasible trajectory for a vehicle. Constraints are particularly designed to ensure inter-vehicle safety. To further achieve system-wide safety and liveness, we additionally propose several simple yet effective rules for vehicle-to-vehicle (V2V) and vehicle-to-infrastructure (V2I) coordination. We establish system-wide safety and also liveness of the resulting autonomous traffic in various traffic situations such as single lane traffic, multi-lane traffic, and intersection crossing traffic.
Keywords :
collision avoidance; mobile robots; predictive control; road safety; road traffic control; road vehicles; MPC problem; V2I coordination; V2V coordination; autonomous transportation system; collision free autonomous ground traffic; intersection crossing traffic; intervehicle safety; liveness; model predictive control approach; multilane traffic; road safety; single lane traffic; system-wide safety; vehicle-to-infrastructure coordination; vehicle-to-vehicle coordination; Mobile robots; Predictive control; Roads; Safety; Trajectory; Turning; Vehicles; Autonomous Vehicles; Intelligent Intersections; Liveness; Model Predictive Control; Motion Planning; Safety;
Conference_Titel :
Cyber-Physical Systems (ICCPS), 2013 ACM/IEEE International Conference on
Conference_Location :
Philadelphia, PA