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Kurt Dresner and Peter Stone. Multiagent Traffic Management: A Reservation-Based Intersection Control Mechanism. In The
Third International Joint Conference on Autonomous Agents and Multiagent Systems, pp. 530–537, New York, NY, USA,
July 2004.
AAMAS 2004
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Traffic congestion is one of the leading causes of lost productivityand decreased standard of living in urban settings. Recent advancesin artificial intelligence suggest vehicle navigation by autonomousagents will be possible in the near future. In this paper, we proposea reservation-based system for alleviating traffic congestion, specificallyat intersections, and under the assumption that the cars are controlledby agents. First, we describe a custom simulator that we have createdto measure the different delays associated with conducting trafficthrough an intersection. Second, we specify a precise metric forevaluating the quality of traffic control at an intersection. Usingthis simulator and this metric, we show that our reservation-basedsystem can perform two to three hundred times better than trafficlights. As a result, it can smoothly handle much heavier trafficconditions. We show that our system very closely approximates anoverpass, which is the optimal solution for the problem with whichwe are dealing.
@INPROCEEDINGS{2004aamas-dresner,
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},
year = {2004},
month = {July},
pages = {530-537},
address = "New York, NY, USA",
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={<a href="http://www.aamas-conference.org/">AAMAS 2004</a>},
bib2html_rescat = {Autonomous Intersection Management},
bib2html_pubtype = {Refereed Conference}
}
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