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Kurt Dresner and Peter Stone. Multiagent Traffic Management: An Improved Intersection Control Mechanism. In The Fourth
International Joint Conference on Autonomous Agents and Multiagent Systems, pp. 471–477, Utrecht, The Netherlands,
July 2005.
AAMAS 2005
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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 previous work, areservation-based system for alleviating traffic congestion, specificallyat intersections was proposed. This paper extends that prototypeimplementation in several ways with the aim of making it more implementablein the real world. In particular, we (1) add the ability of vehiclesto turn, (2) enable them to accelerate while in the intersection,and (3) augment their interaction capabilities with a detailed protocolsuch that the vehicles do not need to know anything about the intersectioncontrol policy. The use of this protocol limits the interactionof the driver agent and the intersection manager to the extent thatit is a reasonable approximation of reliable wireless communication. Finally, we describe how different intersection control policiescan be expressed with this protocol and limited exchange of information. All three improvements are fully implemented and tested, and wepresent detailed empirical results validating their effectiveness.
@INPROCEEDINGS{2005aamas-dresner,
author = {Kurt Dresner and Peter Stone},
title = {Multiagent Traffic Management: An Improved Intersection Control Mechanism},
booktitle = {The Fourth International Joint Conference on Autonomous Agents and
Multiagent Systems},
year = {2005},
pages = {471--477},
month = {July},
address = "Utrecht, The Netherlands",
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 previous work, a
reservation-based system for alleviating traffic congestion, specifically
at intersections was proposed. This paper extends that prototype
implementation in several ways with the aim of making it more implementable
in the real world. In particular, we (1) add the ability of vehicles
to turn, (2) enable them to accelerate while in the intersection,
and (3) augment their interaction capabilities with a detailed protocol
such that the vehicles do not need to know anything about the intersection
control policy. The use of this protocol limits the interaction
of the driver agent and the intersection manager to the extent that
it is a reasonable approximation of reliable wireless communication.
Finally, we describe how different intersection control policies
can be expressed with this protocol and limited exchange of information.
All three improvements are fully implemented and tested, and we
present detailed empirical results validating their effectiveness.},
wwwnote={<a href="http://www.aamas2005.nl/">AAMAS 2005</a>},
bib2html_rescat = {Autonomous Intersection Management},
bib2html_pubtype = {Refereed Conference}
}
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