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

Thorsten Chmura, Johannes Kaiser, Thomas Pitz, Mark Blumberg and Marco Brück
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Thorsten Chmura: University of Bonn, Laboratory for Experimental Economics
Thomas Pitz: University of Bonn, Laboratory for Experimental Economics
Mark Blumberg: University of Bonn, Laboratory for Experimental Economics
Marco Brück: University of Bonn, Laboratory for Experimental Economics

A chapter in Traffic and Granular Flow’05, 2007, pp 657-666 from Springer

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.

Keywords: Genetic Algorithm; Action Type; Intelligent Transportation System; Average Utility; Genetic Algorithm Approach (search for similar items in EconPapers)
Date: 2007
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Persistent link: https://EconPapers.repec.org/RePEc:spr:sprchp:978-3-540-47641-2_64

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DOI: 10.1007/978-3-540-47641-2_64

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