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A Multi-Agent Congestion and Pricing Model

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Author Info
Xi Zou
David Levinson () (Nexus (Networks, Economics, and Urban Systems) Research Group, Department of Civil Engineering, University of Minnesota)

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Abstract

A multi-agent model of travelers competing to utilize a roadway in time and space is presented in this paper to illustrate the effect of congestion and pricing on traveler behaviors and network equilibrium. To realize the spillover effect among travelers, N-player games are constructed in which the strategy set include (N+1) strategies. We solve the discrete N-player game (for N less than 8) and find Nash equilibria if they exist. This model is compared to the bottleneck model. The results of numerical simulation show that the two models yield identical results in terms of lowest total costs and marginal costs when a social optimum exists.

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File URL: http://nexus.umn.edu/Papers/MultiAgentCongestionModel.pdf
File Format: application/pdf
File Function: First version, 2007
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Publisher Info
Paper provided by University of Minnesota: Nexus Research Group in its series Working Papers with number 200605.

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Date of creation: 2006
Date of revision:
Publication status: Published in Transportmetrica Vol.2, No.3, 2006 pp.237-249.
Handle: RePEc:nex:wpaper:multiagentcongestionmodel

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Postal: Dept. of Civil Engineering, 500 Pillsbury Drive SE, Minneapolis, MN 55455
Phone: +01 (612) 625-6354
Fax: +01 (612) 626-7750
Web page: http://nexus.umn.edu
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Related research
Keywords: Agent-based Model Game Theory Congestion Queueing Traffic Flow Congestion Pricing Road Pricing Value Pricing

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Find related papers by JEL classification:
R41 - Urban, Rural, and Regional Economics - - Transportation Systems - - - Transportation: Demand, Supply, and Congestion
R42 - Urban, Rural, and Regional Economics - - Transportation Systems - - - Government and Private Investment Analysis
R48 - Urban, Rural, and Regional Economics - - Transportation Systems - - - Government Pricing; Regulatory Policies
D10 - Microeconomics - - Household Behavior - - - General
D81 - Microeconomics - - Information, Knowledge, and Uncertainty - - - Criteria for Decision-Making under Risk and Uncertainty
D83 - Microeconomics - - Information, Knowledge, and Uncertainty - - - Search, Learning, and Information
C72 - Mathematical and Quantitative Methods - - Game Theory and Bargaining Theory - - - Noncooperative Games

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  1. David Levinson, 2005. "Micro-foundations of Congestion and Pricing: A Game Theory Perspective," Working Papers 200504, University of Minnesota: Nexus Research Group. [Downloadable!]
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This page was last updated on 2008-9-30.


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