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Braess Paradox in the Laboratory: Experimental Study of Route Choice in Traffic Networks with Asymmetric Costs

In: Decision Modeling and Behavior in Complex and Uncertain Environments

Author

Listed:
  • Amnon Rapoport

    (University of Arizona)

  • Tamar Kugler

    (University of Arizona)

  • Subhasish Dugar

    (University of Arizona)

  • Eyran J. Gisches

    (University of Arizona)

Abstract

The Braess paradox (BP) in traffic and communication networks is a powerful illustration of the possible counterintuitive implications of the Nash equilibrium solution. It shows that, paradoxically, when one or more links are added to a directed network with affine link cost functions that depend on congestion, and each user selfishly seeks her best possible route, then the equilibrium travel cost of each and every user may increase. We report the results of a traffic network game experiment designed to test the implications of the BP. The experiment included two network games: a basic network game with three alternative routes, and an augmented network game with two additional routes. Both networks included asymmetric link cost functions, and each game was iterated 60 times with complete outcome information. On each round of the game, the subjects were asked to independently choose a route from a common origin to a common destination in an attempt to minimize individual travel cost. Focusing on aggregate and individual frequencies of route choice and route switching, our results show that with experience in traversing the network, aggregate, but not individual, choice frequencies approach the user equilibrium solution as implied by the BP.

Suggested Citation

  • Amnon Rapoport & Tamar Kugler & Subhasish Dugar & Eyran J. Gisches, 2008. "Braess Paradox in the Laboratory: Experimental Study of Route Choice in Traffic Networks with Asymmetric Costs," Springer Optimization and Its Applications, in: Tamar Kugler & J. Cole Smith & Terry Connolly & Young-Jun Son (ed.), Decision Modeling and Behavior in Complex and Uncertain Environments, pages 309-337, Springer.
  • Handle: RePEc:spr:spochp:978-0-387-77131-1_13
    DOI: 10.1007/978-0-387-77131-1_13
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    Citations

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    Cited by:

    1. Terry E. Daniel & Eyran J. Gisches & Amnon Rapoport, 2009. "Departure Times in Y-Shaped Traffic Networks with Multiple Bottlenecks," American Economic Review, American Economic Association, vol. 99(5), pages 2149-2176, December.
    2. Bejarano, Hernan D. & Latek, Maciej M., 2011. "Artificial Agents as an Application to Policy Design: The Market Entry Game," 2011 Annual Meeting, July 24-26, 2011, Pittsburgh, Pennsylvania 103939, Agricultural and Applied Economics Association.
    3. Dal Forno, Arianna & Merlone, Ugo, 2013. "Border-collision bifurcations in a model of Braess paradox," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 87(C), pages 1-18.
    4. Morgan, John & Orzen, Henrik & Sefton, Martin, 2009. "Network architecture and traffic flows: Experiments on the Pigou-Knight-Downs and Braess Paradoxes," Games and Economic Behavior, Elsevier, vol. 66(1), pages 348-372, May.
    5. Kasun P Wijayaratna & Vinayak V Dixit & Laurent Denant-Boemont & S Travis Waller, 2017. "An experimental study of the Online Information Paradox: Does en-route information improve road network performance?," PLOS ONE, Public Library of Science, vol. 12(9), pages 1-17, September.
    6. Eyran Gisches & Amnon Rapoport, 2012. "Degrading network capacity may improve performance: private versus public monitoring in the Braess Paradox," Theory and Decision, Springer, vol. 73(2), pages 267-293, August.
    7. Emmanuel Dechenaux & Shakun Mago & Laura Razzolini, 2014. "Traffic congestion: an experimental study of the Downs-Thomson paradox," Experimental Economics, Springer;Economic Science Association, vol. 17(3), pages 461-487, September.
    8. Wijayaratna, Kasun P. & Dixit, Vinayak V., 2016. "Impact of information on risk attitudes: Implications on valuation of reliability and information," Journal of choice modelling, Elsevier, vol. 20(C), pages 16-34.

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