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Sharing the Road: Autonomous Vehicles meet Human Drivers.
Kurt
Dresner and Peter Stone.
In The 20th International Joint Conference
on Artificial Intelligence, pp. 1263–68, January 2007.
IJCAI-07
[PDF]189.9kB [postscript]287.7kB
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.
@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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