IDEAS home Printed from https://ideas.repec.org/h/spr/sprchp/978-1-4419-0820-9_19.html
   My bibliography  Save this book chapter

Modeling Learning Impacts on Day-to-day Travel Choice

In: Transportation and Traffic Theory 2009: Golden Jubilee

Author

Listed:
  • Ozlem Yanmaz-Tuzel

    (Rutgers University)

  • Kaan Ozbay

    (Rutgers University)

Abstract

This paper uses Stochastic Learning Automata and Bayesian Inference theory to model drivers’ day-to-day learning behavior in an uncertain environment. The proposed model addresses the adaptation of travelers on the basis of experienced choices and user-specific characteristics. Using the individual commuter data obtained from New Jersey Turnpike, the parameters of the model are estimated. The proposed model aims to capture the commuters’ departure time choice learning/adaptation behavior under disturbed network conditions (after toll change), and to investigate commuters’ responses to toll, travel time, departure/arrival time restrictions while selecting their departure times. The results have demonstrated the possibility of developing a psychological framework (i.e., learning models) as a viable approach to represent travel behavior.

Suggested Citation

  • Ozlem Yanmaz-Tuzel & Kaan Ozbay, 2009. "Modeling Learning Impacts on Day-to-day Travel Choice," Springer Books, in: William H. K. Lam & S. C. Wong & Hong K. Lo (ed.), Transportation and Traffic Theory 2009: Golden Jubilee, chapter 0, pages 387-401, Springer.
  • Handle: RePEc:spr:sprchp:978-1-4419-0820-9_19
    DOI: 10.1007/978-1-4419-0820-9_19
    as

    Download full text from publisher

    To our knowledge, this item is not available for download. To find whether it is available, there are three options:
    1. Check below whether another version of this item is available online.
    2. Check on the provider's web page whether it is in fact available.
    3. Perform a search for a similarly titled item that would be available.

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. 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.
    2. Xuan Di & Henry X. Liu & Shanjiang Zhu & David Levinson, 2014. "Indifference Bands for Route Switching," Working Papers 000123, University of Minnesota: Nexus Research Group.
    3. Di, Xuan & Liu, Henry X., 2016. "Boundedly rational route choice behavior: A review of models and methodologies," Transportation Research Part B: Methodological, Elsevier, vol. 85(C), pages 142-179.
    4. Xuan Di & Henry X. Liu & Shanjiang Zhu & David M. Levinson, 2017. "Indifference bands for boundedly rational route switching," Transportation, Springer, vol. 44(5), pages 1169-1194, September.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:spr:sprchp:978-1-4419-0820-9_19. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.