Peter Stone's Selected Publications

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Human-Usable and Emergency Vehicle-Aware Control Policies for Autonomous Intersection Management

Kurt Dresner and Peter Stone. Human-Usable and Emergency Vehicle-Aware Control Policies for Autonomous Intersection Management. In AAMAS 2006 Workshop on Agents in Traffic and Transportation, May 2006.
ATT 2006.
The project page with videos from the paper.

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Abstract

Traffic congestion and automobile accidents are two of the leading causes of decreased standard of living and lost productivity in urban settings. Recent advances in artificial intelligence and, specifically, intelligent vehicle technology suggest that vehicles driven entirely by autonomous agents will be possible in the near future. In previous work, we presented a novel reservation-based approach for governing interactions of multiple autonomous vehicles, specifically at intersections. This approach alleviated many traditional problems associated with intersections, in terms of both safety and efficiency. However, such a system relies on all vehicles being equipped with the requisite technology --- a restriction that would make implementing such a system in the real world extremely difficult. In this paper, we augment the system such that it is able to accomodate traditional human-operated vehicles using existing infrastructure. Furthermore, we show that as the number of autonomous vehicles on the road increases, traffic delays decrease monotonically toward the levels exhibited in the system involving only autonomous vehicles. Additionally, we demonstrate how the system can be extended to allow high-priority vehicles such as ambulances, police cars, or fire trucks through more quickly without placing undue burden on other vehicles. Both augmentations are fully implemented and tested in our custom simulator, and we present detailed experimental results attesting to their effectiveness.

BibTeX Entry

@InProceedings(ATT06,
	author="Kurt Dresner and Peter Stone",
	title="Human-Usable and Emergency Vehicle-Aware Control Policies for Autonomous Intersection Management",
	booktitle="{AAMAS} 2006 Workshop on Agents in Traffic and Transportation",
	month="May",year="2006",
	abstract={
	          Traffic congestion and automobile accidents are two
	          of the leading causes of decreased standard of
	          living and lost productivity in urban
	          settings. Recent advances in artificial intelligence
	          and, specifically, intelligent vehicle technology
	          suggest that vehicles driven entirely by autonomous
	          agents will be possible in the near future.  In
	          previous work, we presented a novel
	          reservation-based approach for governing
	          interactions of multiple autonomous vehicles,
	          specifically at intersections.  This approach
	          alleviated many traditional problems associated with
	          intersections, in terms of both safety and
	          efficiency.  However, such a system relies on all
	          vehicles being equipped with the requisite
	          technology --- a restriction that would make
	          implementing such a system in the real world
	          extremely difficult. In this paper, we augment the
	          system such that it is able to accomodate
	          traditional human-operated vehicles using existing
	          infrastructure. Furthermore, we show that as the
	          number of autonomous vehicles on the road increases,
	          traffic delays decrease monotonically toward the
	          levels exhibited in the system involving only
	          autonomous vehicles. Additionally, we demonstrate
	          how the system can be extended to allow
	          high-priority vehicles such as ambulances, police
	          cars, or fire trucks through more quickly without
	          placing undue burden on other vehicles. Both
	          augmentations are fully implemented and tested in
	          our custom simulator, and we present detailed
	          experimental results attesting to their
	          effectiveness.
	},
        wwwnote={<a href="http://ki.informatik.uni-wuerzburg.de/~kluegl/att2006/">ATT 2006</a>.<br> The <a href="http://www.cs.utexas.edu/~kdresner/aim/">project page</a> with videos from the paper.},
)	

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