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Transfer Implementation in Congestion Games

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  • Itai Arieli

Abstract

We study an implementation problem faced by a planner who can influence selfish behavior in a roadway network. It is commonly known that Nash equilibrium does not necessarily minimize the total latency on a network and that levying a tax on road users that is equal to the marginal congestion effect each user causes implements the optimal latency flow. This holds, however, only under the assumption that taxes have no effect on the utility of the users. In this paper, we consider taxes that satisfy the budget balance condition and that are therefore obtained using a money transfer among the network users. Hence at every state the overall taxes imposed upon the users sum up to zero. We show that the optimal latency flow can be guaranteed as a Nash equilibrium using a simple, easily computable transfer scheme that is obtained from a fixed matrix. In addition, the resulting game remains a potential game, and the levied tax on every edge is a function of its congestion. Copyright Springer Science+Business Media New York 2015

Suggested Citation

  • Itai Arieli, 2015. "Transfer Implementation in Congestion Games," Dynamic Games and Applications, Springer, vol. 5(2), pages 228-238, June.
    • Handle: RePEc:spr:dyngam:v:5:y:2015:i:2:p:228-238
    DOI: 10.1007/s13235-014-0132-0
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    References listed on IDEAS

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    1. William H. Sandholm, 2002. "Evolutionary Implementation and Congestion Pricing," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 69(3), pages 667-689.
    2. Sandholm, William H., 2007. "Pigouvian pricing and stochastic evolutionary implementation," Journal of Economic Theory, Elsevier, vol. 132(1), pages 367-382, January.
    3. William H. Sandholm, 2005. "Negative Externalities and Evolutionary Implementation," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 72(3), pages 885-915.
    4. Smith, M. J., 1979. "The marginal cost taxation of a transportation network," Transportation Research Part B: Methodological, Elsevier, vol. 13(3), pages 237-242, September.
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