Title :
Supervisory control for intersection collision avoidance in the presence of uncontrolled vehicles
Author :
Ahn, Hyo-Sung ; Colombo, Alessandro ; Del Vecchio, Domitilla
Author_Institution :
Dept. of Mech. Eng., Massachusetts Inst. of Technol., Cambridge, MA, USA
Abstract :
This paper describes the design of a supervisory controller (supervisor) that manages controlled vehicles to avoid intersection collisions in the presence of uncontrolled vehicles. Two main problems are addressed: verification of the safety of all vehicles at an intersection, and management of the inputs of controlled vehicles. For the verification problem, we employ an inserted idle-time scheduling approach, where the “inserted idle-time” is a time interval when the intersection is deliberately held idle for uncontrolled vehicles to safely cross the intersection. For the management problem, we design a supervisor that is least restrictive in the sense that it overrides controlled vehicles only when a safety violation becomes imminent. We analyze computational complexity and propose an efficient version of the supervisor with a quantified approximation bound.
Keywords :
approximation theory; collision avoidance; computational complexity; road safety; road vehicles; scheduling; computational complexity analysis; controlled vehicle input management; inserted idle-time scheduling approach; inserted supervisory control; intersection collision avoidance; quantified approximation bound; safety violation; uncontrolled vehicles; vehicle safety verification; Algorithm design and analysis; Collision avoidance; Safety; Schedules; Scheduling; Vehicle dynamics; Vehicles; Autonomous systems; Hybrid systems; Supervisory control;
Conference_Titel :
American Control Conference (ACC), 2014
Conference_Location :
Portland, OR
Print_ISBN :
978-1-4799-3272-6
DOI :
10.1109/ACC.2014.6859163