Informed-user Algorithms that Converge to Nash Equilibrium in Traffic Games
This paper considers a group of self-interested agents (drivers) trying to optimize their utility by choosing the route with the least travel time and proposes an algorithm that converges to a pure Nash equilibrium almost surely in traffic games. Weakly acyclic games, which generalize potential and dominance solvable games, are closely related to multi-agent systems through the existence of a global objective function and its alignment to the local utilities of each agent. The authors show that in a multi-agent distributed traffic routing problem with both linear and non-linear link cost functions, in the form of a congestion game, the achievement of pure Nash equilibrium is possible even if the agents use only the utility information of the previous action. The authors propose a fast and adaptive algorithm for the informed-user problem that provides almost sure convergence to a pure Nash equilibrium in any weakly acyclic game.
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- Record URL:
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Availability:
- Find a library where document is available. Order URL: http://worldcat.org/issn/18770428
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Supplemental Notes:
- Abstract reprinted with permission from Elsevier.
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Authors:
- MIYAGI, TOSHIHIKO
- Peque Jr., Genaro C
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Conference:
- 15th Meeting of the EURO Working Group on Transportation
- Location: Paris , France
- Date: 2012-9-10 to 2012-9-13
- Publication Date: 2012-10-4
Language
- English
Media Info
- Media Type: Print
- Features: Figures; References;
- Pagination: pp 438-449
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Serial:
- Procedia - Social and Behavioral Sciences
- Volume: 54
- Issue Number: 0
- Publisher: Elsevier
- ISSN: 1877-0428
- Serial URL: http://www.sciencedirect.com/science/journal/18770428/53
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Publication flags:
Open Access (libre)
Subject/Index Terms
- TRT Terms: Algorithms; Route choice; Traffic flow; Travel time
- Uncontrolled Terms: Nash equilibrium
- Subject Areas: Highways; Operations and Traffic Management; Planning and Forecasting; I72: Traffic and Transport Planning;
Filing Info
- Accession Number: 01487375
- Record Type: Publication
- Files: TRIS
- Created Date: Jul 3 2013 1:35PM