Road traffic congestion and public information - An experimental investigation

Anthony Ziegelmeyer, Frederic Koessler, Kene Boun My, Laurent Denant-Boemont

Research output: Contribution to journalArticle

32 Citations (Scopus)

Abstract

This paper reports laboratory experiments designed to study the impact of public information about past departure rates on congestion levels and travel costs. Our design is based on a discrete version of Arnott et al.'s (1990) bottleneck model. In all treatments, congestion occurs and the observed travel costs are quite similar to the predicted ones. Subjects' capacity to coordinate is not affected by the availability of public information on past departure rates, by the number of drivers or by the relative cost of delay. This seemingly absence of treatment effects is confirmed by our finding that a parameter-free reinforcement learning model best characterises individual behaviour.

Original languageEnglish
Pages (from-to)43-82
Number of pages40
JournalJournal of Transport Economics and Policy
Volume42
Issue number1
Publication statusPublished - Jan 2008

ASJC Scopus subject areas

  • Economics and Econometrics
  • Transportation

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