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Effects of Advanced Traveller Information Systems on Agents’ Behaviour in a Traffic Scenario

In: Traffic and Granular Flow’05

Author

Listed:
  • Thorsten Chmura

    (University of Bonn, Laboratory for Experimental Economics
    Shanghai Jiao Tong University, Antai School of Managment)

  • Johannes Kaiser

    (University of Bonn, Laboratory for Experimental Economics)

  • Thomas Pitz

    (University of Bonn, Laboratory for Experimental Economics
    Shanghai Jiao Tong University, Antai School of Managment)

  • Mark Blumberg

    (University of Bonn, Laboratory for Experimental Economics)

  • Marco Brück

    (University of Bonn, Laboratory for Experimental Economics)

Abstract

Summary A genetic algorithm approach is used to study the behaviour of agents in a simulation of a daily route choice. There are two roads to choose and we show that there is a welfare enhancing effect of an Advanced Traveller Information System (ATIS) in comparison to the standard case without an ATIS. In the first case it is remarkable that not all agents follow the recommendation of the ATIS and the equilibrium distribution is only approximately attained.

Suggested Citation

  • Thorsten Chmura & Johannes Kaiser & Thomas Pitz & Mark Blumberg & Marco Brück, 2007. "Effects of Advanced Traveller Information Systems on Agents’ Behaviour in a Traffic Scenario," Springer Books, in: Andreas Schadschneider & Thorsten Pöschel & Reinhart Kühne & Michael Schreckenberg & Dietrich E. Wol (ed.), Traffic and Granular Flow’05, pages 657-666, Springer.
  • Handle: RePEc:spr:sprchp:978-3-540-47641-2_64
    DOI: 10.1007/978-3-540-47641-2_64
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