Supervisory control for intersection collision avoidance in the presence of uncontrolled vehicles

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 i...

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Bibliographic Details
Main Authors: Ahn, Heejin (Contributor), Colombo, Alessandro (Author), Del Vecchio, Domitilla (Contributor)
Other Authors: Massachusetts Institute of Technology. Department of Mechanical Engineering (Contributor)
Format: Article
Language:English
Published: Institute of Electrical and Electronics Engineers (IEEE), 2015-06-15T15:44:11Z.
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Online Access:Get fulltext
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100 1 0 |a Ahn, Heejin  |e author 
100 1 0 |a Massachusetts Institute of Technology. Department of Mechanical Engineering  |e contributor 
100 1 0 |a Ahn, Heejin  |e contributor 
100 1 0 |a Del Vecchio, Domitilla  |e contributor 
700 1 0 |a Colombo, Alessandro  |e author 
700 1 0 |a Del Vecchio, Domitilla  |e author 
245 0 0 |a Supervisory control for intersection collision avoidance in the presence of uncontrolled vehicles 
260 |b Institute of Electrical and Electronics Engineers (IEEE),   |c 2015-06-15T15:44:11Z. 
856 |z Get fulltext  |u http://hdl.handle.net/1721.1/97413 
520 |a 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. 
520 |a National Science Foundation (U.S.) (Award 1239182) 
546 |a en_US 
655 7 |a Article 
773 |t Proceedings of the 2014 American Control Conference