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Multiagent Traffic Management: A Reservation-Based Intersection Control Mechanism.
Kurt
Dresner and Peter Stone.
In The Third International Joint Conference
on Autonomous Agents and Multiagent Systems, pp. 530–537, July 2004.
Some
AAMAS-2004
[PDF]233.8kB [postscript]492.0kB
Traffic congestion is one of the leading causes of lost productivity and decreased standard of living in urban settings. Recent advances in artificial intelligence suggest vehicle navigation by autonomous agents will be possible in the near future. In this paper, we propose a reservation-based system for alleviating traffic congestion, specifically at intersections, and under the assumption that the cars are controlled by agents. First, we describe a custom simulator that we have created to measure the different delays associated with conducting traffic through an intersection. Second, we specify a precise metric for evaluating the quality of traffic control at an intersection. Using this simulator and this metric, we show that our reservation-based system can perform two to three hundred times better than traffic lights. As a result, it can smoothly handle much heavier traffic conditions. We show that our system very closely approximates an overpass, which is the optimal solution for the problem with which we are dealing.
@InProceedings(AAMAS04,
author="Kurt Dresner and Peter Stone",
title="Multiagent Traffic Management: A Reservation-Based Intersection Control Mechanism",
booktitle="The Third International Joint Conference on Autonomous Agents and Multiagent Systems",
month="July",year="2004",
pages="530--537",
abstract={
Traffic congestion is one of the leading causes of
lost productivity and decreased standard of living
in urban settings. Recent advances in artificial
intelligence suggest vehicle navigation by
autonomous agents will be possible in the near
future. In this paper, we propose a
reservation-based system for alleviating traffic
congestion, specifically at intersections, and under
the assumption that the cars are controlled by
agents. First, we describe a custom simulator that
we have created to measure the different delays
associated with conducting traffic through an
intersection. Second, we specify a precise metric
for evaluating the quality of traffic control at an
intersection. Using this simulator and this metric,
we show that our reservation-based system can
perform two to three hundred times better than
traffic lights. As a result, it can smoothly handle
much heavier traffic conditions. We show that our
system very closely approximates an overpass, which
is the optimal solution for the problem with which
we are dealing.
},
wwwnote={Some <a
href="http://www.cs.utexas.edu/users/kdresner/2004aamas/">simulations of cars driving through intersections</a> referenced in the paper. The <a href="http://www.cs.utexas.edu/~aim/">main project page</a><br>
<a href="http://www.aamas-conference.org/">AAMAS-2004</a>},
)
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