Effects of Advanced Traveller Information Systems on Agents' Behaviour in a Traffic Scenario
TRAFFIC AND GRANULAR FLOW '05, T. Pöschel, A. Schadschneider, R. Kühne, M. Schreckenberg, D. E. Wolf, eds., Springer, Heidelberg, p. 631-640, 2007
Posted: 17 May 2006 Last revised: 28 Oct 2007
Abstract
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: traffic, computational economics, genetic algorithm, action trees, multi agents systems, simulation, traveller information system
JEL Classification: C45, C61, D83, L92
Suggested Citation: Suggested Citation
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