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Kurt Dresner and Peter Stone. A Reservation-Based Multiagent System for Intersection Control. In The 5th IFAC Symposium on Intelligent Autonomous Vehicles (IAV2004), Lisbon, Portugal, July 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 that autonomous vehicle navigationwill be possible in the near future. In this paper, we propose areservation-based system for alleviating traffic congestion, specificallyat intersections. First, we describe a custom simulator that wehave created to measure the different delays associated with conductingtraffic through an intersection. Second, we specify a precise metricfor evaluating the quality of traffic control at an intersection. Using this 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{2004iav-dresner,
author = {Kurt Dresner and Peter Stone},
title = {A Reservation-Based Multiagent System for Intersection Control},
booktitle = {The 5th IFAC Symposium on Intelligent Autonomous Vehicles (IAV2004)},
year = {2004},
month = {July},
address = "Lisbon, Portugal",
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 that autonomous vehicle navigation
will be possible in the near future. In this paper, we propose a
reservation-based system for alleviating traffic congestion, specifically
at intersections. 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.},
bib2html_rescat = {Autonomous Intersection Management},
bib2html_pubtype = {Symposium}
}
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