Dynamics of Decentralized Multi-Agent Systems for Implementing Tradable Network Permits
This paper proposes a multi-agent system for implementing tradable bottleneck permits for general transportation networks. The aim of the proposed system is to achieve the socially optimal state in which total transportation cost is minimized by decentralized behavior of agents. As a concrete step o...
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Published in | INFRASTRUCTURE PLANNING REVIEW Vol. 25; pp. 589 - 596 |
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Main Authors | , |
Format | Journal Article |
Language | English |
Published |
Japan Society of Civil Engineers
30.09.2008
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Subjects | |
Online Access | Get full text |
ISSN | 0913-4034 1884-8303 |
DOI | 10.2208/journalip.25.589 |
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Abstract | This paper proposes a multi-agent system for implementing tradable bottleneck permits for general transportation networks. The aim of the proposed system is to achieve the socially optimal state in which total transportation cost is minimized by decentralized behavior of agents. As a concrete step of designing the proposed system, we first define some micro behavior rules of the agents. We then derive day-to-day dynamics of aggregated (macroscopic) variables (i. e. flows and permits prices) from the micro behavior rules. By analyzing the macro dynamics, we prove that the mean dynamics of aggregated variables converges to the socially optimal state. |
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AbstractList | This paper proposes a multi-agent system for implementing tradable bottleneck permits for general transportation networks. The aim of the proposed system is to achieve the socially optimal state in which total transportation cost is minimized by decentralized behavior of agents. As a concrete step of designing the proposed system, we first define some micro behavior rules of the agents. We then derive day-to-day dynamics of aggregated (macroscopic) variables (i. e. flows and permits prices) from the micro behavior rules. By analyzing the macro dynamics, we prove that the mean dynamics of aggregated variables converges to the socially optimal state. |
Author | KIKUCHI, Shiro AKAMATSU, Takashi |
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References | 1) 赤松隆: 一般ネットワークにおけるボトルネック通行権取引制度, 土木学会灘文集D, Vol.63, No.3, pp.287-301, 2007. 9) M. Benalm: Recursive Algorithms, Urn Processes, and Chaining Number of Chain Recurrent Sets, Ergodic Theory and Dynamical Systems, Vol.18, pp.53-87, 1998. 8) J. Hofbauer, W. H. Sandholm: Evolution in Games with Randomly Disturbed Payoffs, Journal of Economic Theory, Vol.132, pp.47-69, 2007. 10) M. Benalm, M. W. Hirsch: On Stochastic Approximation Algorithms with Constant Step Size Whose Average is Cooperative, Annals of Applied Probability, Vol.30, pp.850-869, 1990. 6) F. Vega-Redondo: Economics and the Theory of Games, Cambridge university press, 2003. 3) P. Cramton, Y. Shoham, R. Steinberg: Combinatorial Auctions, The MIT Press. 5) D. Fudenberg, David K Levine: The Theory of Learning in Games, MIT press, 1998. 4) W. H. Sandholm: Evolutionary Implementation and Congestion Pricing, Review of Economic Studies, Vol.69, pp.667-689, 2002. 7) J. Hofbauer, W. H. Sandholm: On the Global Convergence of Stochastic Fictitious Play, Econometrica, Vol.70, No.6, pp.2265-2294, 2002. 2) 赤松隆, 佐藤慎太郎, Nguyen Xuan Long: 時間帯別ボトルネック通行権取引制度に関する研究, 土木学会論文集D, Vol.62. No.4, pp.605-620, 2006. |
References_xml | – reference: 8) J. Hofbauer, W. H. Sandholm: Evolution in Games with Randomly Disturbed Payoffs, Journal of Economic Theory, Vol.132, pp.47-69, 2007. – reference: 10) M. Benalm, M. W. Hirsch: On Stochastic Approximation Algorithms with Constant Step Size Whose Average is Cooperative, Annals of Applied Probability, Vol.30, pp.850-869, 1990. – reference: 7) J. Hofbauer, W. H. Sandholm: On the Global Convergence of Stochastic Fictitious Play, Econometrica, Vol.70, No.6, pp.2265-2294, 2002. – reference: 1) 赤松隆: 一般ネットワークにおけるボトルネック通行権取引制度, 土木学会灘文集D, Vol.63, No.3, pp.287-301, 2007. – reference: 3) P. Cramton, Y. Shoham, R. Steinberg: Combinatorial Auctions, The MIT Press. – reference: 4) W. H. Sandholm: Evolutionary Implementation and Congestion Pricing, Review of Economic Studies, Vol.69, pp.667-689, 2002. – reference: 5) D. Fudenberg, David K Levine: The Theory of Learning in Games, MIT press, 1998. – reference: 6) F. Vega-Redondo: Economics and the Theory of Games, Cambridge university press, 2003. – reference: 2) 赤松隆, 佐藤慎太郎, Nguyen Xuan Long: 時間帯別ボトルネック通行権取引制度に関する研究, 土木学会論文集D, Vol.62. No.4, pp.605-620, 2006. – reference: 9) M. Benalm: Recursive Algorithms, Urn Processes, and Chaining Number of Chain Recurrent Sets, Ergodic Theory and Dynamical Systems, Vol.18, pp.53-87, 1998. |
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Title | Dynamics of Decentralized Multi-Agent Systems for Implementing Tradable Network Permits |
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