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Kurt Dresner and Peter Stone. Human-Usable and Emergency Vehicle--Aware Control Policies for Autonomous Intersection Management.
In The Fourth Workshop on Agents in Traffic and Transportation (ATT 06), pp. 17–25, Hakodate, Japan, May 2006.
ATT 2006
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Traffic congestion and automobile accidents are two of the leadingcauses of decreased standard of living and lost productivity inurban settings. Recent advances in artificial intelligence and,specifically, intelligent vehicle technology suggest that vehiclesdriven entirely by autonomous agents will be possible in the nearfuture. In previous work, we presented a novel reservation-basedapproach for governing interactions of multiple autonomous vehicles,specifically at intersections. This approach alleviated manytraditional problems associated with intersections, in terms of bothsafety and efficiency. However, such a system relies on allvehicles being equipped with the requisite technology --- arestriction that would make implementing such a system in the realworld extremely difficult. In this paper, we augment the system suchthat it is able to accomodate traditional human-operated vehiclesusing existing infrastructure. Furthermore, we show that as thenumber of autonomous vehicles on the road increases, traffic delaysdecrease monotonically toward the levels exhibited in the systeminvolving only autonomous vehicles. Additionally, we demonstrate howthe system can be extended to allow high-priority vehicles such asambulances, police cars, or fire trucks through more quickly withoutplacing undue burden on other vehicles. Both augmentations are fullyimplemented and tested in our custom simulator, and we presentdetailed experimental results attesting to their effectiveness.
@inproceedings{2006att-dresner,
author="Kurt Dresner and Peter Stone",
title="Human-Usable and Emergency Vehicle--Aware Control Policies for Autonomous Intersection Management",
booktitle = "The Fourth Workshop on Agents in Traffic and Transportation (ATT 06)",
address = "Hakodate, Japan",
month = "May",
year = "2006",
pages = "17--25",
abstract={
Traffic congestion and automobile accidents are two of the leading
causes of decreased standard of living and lost productivity in
urban settings. Recent advances in artificial intelligence and,
specifically, intelligent vehicle technology suggest that vehicles
driven entirely by autonomous agents will be possible in the near
future. In previous work, we presented a novel reservation-based
approach for governing interactions of multiple autonomous vehicles,
specifically at intersections. This approach alleviated many
traditional problems associated with intersections, in terms of both
safety and efficiency. However, such a 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 augment the system such
that it 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 system
involving only autonomous vehicles. Additionally, we demonstrate how
the system can be extended to allow high-priority vehicles such as
ambulances, police cars, or fire trucks through more quickly without
placing undue burden on other vehicles. Both augmentations are fully
implemented and tested in our custom simulator, and we present
detailed experimental results attesting to their effectiveness.
},
wwwnote={<a href="http://ki.informatik.uni-wuerzburg.de/~kluegl/att2006/">ATT 2006</a>},
bib2html_rescat = {Autonomous Intersection Management},
bib2html_pubtype = {Workshop}
}
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