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Experiments and Simulations on Day-to-Day Route Choice-Behaviour

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Author Info
Reinhard Selten
Michael Schreckenberg
Thomas Pitz
Thorsten Chmura
Sebastian Kube

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Abstract

The paper reports laboratory experiments on a day-to-day route choice game with two routes. Subjects had to choose between a main road M and a side road S. The capacity was greater for the main road. 18 subjects participated in each session. In equilibrium the number of subjects is 12 on M and 6 on S. Two treatments with 6 sessions each were run at the Laboratory of Experimental Economics at Bonn University using RatImage. Feedback was given in treatment I only about own travel time and in treatment II on travel time for M and S. Money payoffs increase with decreasing time. The main results are as follows. 1.Mean numbers on M and S are very near to the equilibrium. 2.Fluctuations persist until the end of the sessions in both treatments. 3.Fluctuations are smaller under treatment II .The effect is small but significant. 4.The total number of changes is significantly greater in treatment I. 5.Subjects' road changes and payoffs are negatively correlated in all sessions. 6.A direct response mode reacts with more changes for bad payoffs whereas a contrary response mode shows opposite reactions. Both response modes can be observed. 7.The simulation of an extended payoff sum learning model closely fits the main results of the statistical evaluation of the data.

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Publisher Info
Paper provided by University of Bonn, Germany in its series Bonn Econ Discussion Papers with number bgse35_2002.

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Length: 29
Date of creation: Nov 2002
Date of revision:
Handle: RePEc:bon:bonedp:bgse35_2002

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Postal: Bonn Graduate School of Economics, University of Bonn, Adenauerallee 24 - 26, 53113 Bonn, Germany
Fax: +49 228 73 9221
Web page: http://www.bgse.uni-bonn.de/index.php?id=494

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Related research
Keywords: travel behaviour research; information in intelligent transportation systems; day-to-day route choice; laboratory experiments; payoff sum model;

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Find related papers by JEL classification:
C91 - Mathematical and Quantitative Methods - - Design of Experiments - - - Laboratory, Individual Behavior
C92 - Mathematical and Quantitative Methods - - Design of Experiments - - - Laboratory, Group Behavior
C15 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods: General - - - Statistical Simulation Methods
L91 - Industrial Organization - - Industry Studies: Transportation and Utilities - - - Transportation: General
R4 - Urban, Rural, and Regional Economics - - Transportation Systems

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References listed on IDEAS
Please report citation or reference errors to , or , if you are the registered author of the cited work, log in to your RePEc Author Service profile, click on "citations" and make appropriate adjustments.:
  1. Abbink, Klaus & Abdolkarim Sadrieh, 1995. "RatImage - research Assistance Toolbox for Computer-Aided Human Behavior Experiments," Discussion Paper Serie B 325, University of Bonn, Germany.
  2. Erev, Ido & Roth, Alvin E, 1998. "Predicting How People Play Games: Reinforcement Learning in Experimental Games with Unique, Mixed Strategy Equilibria," American Economic Review, American Economic Association, vol. 88(4), pages 848-81, September. [Downloadable!] (restricted)
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Cited by:
(explanations, Please report citation or reference errors to , or , if you are the registered author of the cited work, log in to your RePEc Author Service profile, click on "citations" and make appropriate adjustments.)

  1. Giulio Bottazzi & Giovanna Devetag, 2007. "Competition and coordination in experimental minority games," Journal of Evolutionary Economics, Springer, vol. 17(3), pages 241-275, June. [Downloadable!] (restricted)
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