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Experimental analysis of dynamic route choice behavior

Author

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  • Iida, Yasunori
  • Akiyama, Takamasa
  • Uchida, Takashi

Abstract

This study analyzes the dynamics of route choice behavior by laboratory-like experiments that repeatedly ask the participants to respond to hypothetical route choices. The analysis considers the case where a pool of travelers depart from a given origin to a single destination connected by two parallel alternative routes. Traffic conditions varying from day to day are represented by travel time. Travel time prediction errors (the difference between predicted and actual travel time) as well as actual travel times are treated as "experiences" accumulating through the experiments. It is found that the traffic flow seems to be hard to converge to an equilibrium, so that existing traffic assignment models may not be adequate to analyze actual traffic phenomena. Some important insights regarding the mechanism of driver's route choice behavior are also obtained by the experiments. For example, the results show that there exist two patterns of using previous travel experiences for prediction of travel time.

Suggested Citation

  • Iida, Yasunori & Akiyama, Takamasa & Uchida, Takashi, 1992. "Experimental analysis of dynamic route choice behavior," Transportation Research Part B: Methodological, Elsevier, vol. 26(1), pages 17-32, February.
  • Handle: RePEc:eee:transb:v:26:y:1992:i:1:p:17-32
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    Citations

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    Cited by:

    1. Terry E. Daniel & Eyran J. Gisches & Amnon Rapoport, 2009. "Departure Times in Y-Shaped Traffic Networks with Multiple Bottlenecks," American Economic Review, American Economic Association, vol. 99(5), pages 2149-2176, December.
    2. Kets, W., 2007. "The Minority Game : An Economics Perspective," Discussion Paper 2007-53, Tilburg University, Center for Economic Research.
    3. Emmerink, Richard H. M. & Verhoef, Erik T. & Nijkamp, Peter & Rietveld, Piet, 1998. "Information policy in road transport with elastic demand: Some welfare economic considerations," European Economic Review, Elsevier, vol. 42(1), pages 71-95, January.
    4. Selten, R. & Chmura, T. & Pitz, T. & Kube, S. & Schreckenberg, M., 2007. "Commuters route choice behaviour," Games and Economic Behavior, Elsevier, vol. 58(2), pages 394-406, February.
    5. Emmerink, R., 1993. "Effects of information in road transport networks with recurrent congestion," Serie Research Memoranda 0065, VU University Amsterdam, Faculty of Economics, Business Administration and Econometrics.
    6. Chidambaram, Bhuvanachithra & Janssen, Marco A. & Rommel, Jens & Zikos, Dimitrios, 2014. "Commuters’ mode choice as a coordination problem: A framed field experiment on traffic policy in Hyderabad, India," Transportation Research Part A: Policy and Practice, Elsevier, vol. 65(C), pages 9-22.
    7. van Ackere, Ann & Larsen, Erik R., 2004. "Self-organising behaviour in the presence of negative externalities: A conceptual model of commuter choice," European Journal of Operational Research, Elsevier, vol. 157(2), pages 501-513, September.
    8. Pietro Dindo & Jan Tuinstra, 2011. "A Class of Evolutionary Models for Participation Games with Negative Feedback," Computational Economics, Springer;Society for Computational Economics, vol. 37(3), pages 267-300, March.
    9. Erel Avineri & Joseph Prashker, 2006. "The Impact of Travel Time Information on Travelers’ Learning under Uncertainty," Transportation, Springer, vol. 33(4), pages 393-408, July.
    10. Navid Khademi & Mojtaba Rajabi & Afshin S. Mohaymany & Mahdi Samadzad, 2016. "Day-to-day travel time perception modeling using an adaptive-network-based fuzzy inference system (ANFIS)," EURO Journal on Transportation and Logistics, Springer;EURO - The Association of European Operational Research Societies, vol. 5(1), pages 25-52, March.
    11. Yang, Hai & Kitamura, Ryuichi & Jovanis, Paul P. & Vaughn, Kenneth M. & Abdel-aty, Mohammed A. & Reddy, Prasuna Dvg, 1993. "Exploration Of Driver Route Choice With Advanced Traveler Information Using Neural Network Concepts," Institute of Transportation Studies, Research Reports, Working Papers, Proceedings qt53d2t6df, Institute of Transportation Studies, UC Berkeley.
    12. Morgan, John & Orzen, Henrik & Sefton, Martin, 2009. "Network architecture and traffic flows: Experiments on the Pigou-Knight-Downs and Braess Paradoxes," Games and Economic Behavior, Elsevier, vol. 66(1), pages 348-372, May.
    13. Sinuany-Stern, Z. & Stern, E. & Sfaradi, Z. & Holm, E., 1997. "The effect of information on commuters' behavior: A comparative micro-simulation approach," European Journal of Operational Research, Elsevier, vol. 96(3), pages 455-470, February.
    14. Linde, Jona & Sonnemans, Joep & Tuinstra, Jan, 2014. "Strategies and evolution in the minority game: A multi-round strategy experiment," Games and Economic Behavior, Elsevier, vol. 86(C), pages 77-95.
    15. Innocenti, Alessandro & Lattarulo, Patrizia & Pazienza, Maria Grazia, 2013. "Car stickiness: Heuristics and biases in travel choice," Transport Policy, Elsevier, vol. 25(C), pages 158-168.
    16. repec:eee:eejocm:v:24:y:2017:i:c:p:22-35 is not listed on IDEAS
    17. Li, Xiang & Zhou, Jiandong & Zhao, Xiande, 2016. "Travel itinerary problem," Transportation Research Part B: Methodological, Elsevier, vol. 91(C), pages 332-343.
    18. David Watling & Giulio Cantarella, 2015. "Model Representation & Decision-Making in an Ever-Changing World: The Role of Stochastic Process Models of Transportation Systems," Networks and Spatial Economics, Springer, vol. 15(3), pages 843-882, September.
    19. Rapoport, Amnon & Mak, Vincent & Zwick, Rami, 2006. "Navigating congested networks with variable demand: Experimental evidence," Journal of Economic Psychology, Elsevier, vol. 27(5), pages 648-666, October.
    20. Theo Arentze & Harry Timmermans, 2003. "Modeling learning and adaptation processes in activity-travel choice A framework and numerical experiment," Transportation, Springer, vol. 30(1), pages 37-62, February.
    21. Chmura, T. & Pitz, T., 2006. "Successful strategies in repeated minority games," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 363(2), pages 477-480.
    22. Rapoport, Amnon & Gisches, Eyran J. & Daniel, Terry & Lindsey, Robin, 2014. "Pre-trip information and route-choice decisions with stochastic travel conditions: Experiment," Transportation Research Part B: Methodological, Elsevier, vol. 68(C), pages 154-172.

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