Peter Stone's Selected Publications

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Sharing the Road: Autonomous Vehicles meet Human Drivers

Kurt Dresner and Peter Stone. Sharing the Road: Autonomous Vehicles meet Human Drivers. In The 20th International Joint Conference on Artificial Intelligence, pp. 1263–68, January 2007.
IJCAI-07

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Abstract

In modern urban settings, automobile traffic and collisions lead to endless frustration as well as significant loss of life, property, and productivity. Recent advances in artificial intelligence suggest that autonomous vehicle navigation may soon be a reality. It has been demonstrated that a reservation-based approach can efficiently and safely govern interactions of multiple autonomous vehicles at intersections. Such an approach alleviates many traditional problems associated with intersections, in terms of both safety and efficiency. However, the 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 extend the previously proposed system to allow for incremental deployability. The modified system 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 previous work. Finally, we develop a method for switching between various human-usable configurations while the system is running, in order to facilitate an even smoother transition. The work is fully implemented and tested in our custom simulator, and we present detailed experimental results attesting to its effectiveness.

BibTeX Entry

@InProceedings(IJCAI07-kurt,
        author="Kurt Dresner and Peter Stone",
	title="Sharing the Road: Autonomous Vehicles meet Human Drivers",
	BookTitle="The 20th International Joint Conference on Artificial Intelligence",
	month="January",year="2007",
	pages="1263--68",
	abstract=" 
                  In modern urban settings, automobile traffic and
                  collisions lead to endless frustration as well as
                  significant loss of life, property, and
                  productivity. Recent advances in artificial
                  intelligence suggest that autonomous vehicle
                  navigation may soon be a reality. It has been
                  demonstrated that a reservation-based approach can
                  efficiently and safely govern interactions of
                  multiple autonomous vehicles at intersections. Such
                  an approach alleviates many traditional problems
                  associated with intersections, in terms of both
                  safety and efficiency. However, the 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 extend the
                  previously proposed system to allow for incremental
                  deployability. The modified system 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 previous
                  work. Finally, we develop a method for switching
                  between various human-usable configurations while
                  the system is running, in order to facilitate an
                  even smoother transition. The work is fully
                  implemented and tested in our custom simulator, and
                  we present detailed experimental results attesting
                  to its effectiveness.
	         ",
	wwwnote={<a href="http://www.ijcai-07.org/">IJCAI-07</a>},
)

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