Exploration of Day-to-day Route Choice Models by a Virtual Experiment

This paper examines existing day-to-day models based on a virtual day-to-day route choice experiment using the latest mobile internet techniques. With the realized day-to-day path flows and path travel times in the experiment, the authors calibrate several well-designed path-based day-to-day models who take the Wardrop’s user equilibrium as (part of) their stationary states. The nonlinear effects of path flows and path time differences on the path swapping are then investigated. Participants’ path preferences, time-varying sensitivity and learning behavior in the day-to-day process are also examined. The prediction power of various models with various settings (nonlinear effects, time-varying sensitivity, and learning) is compared. Assumption of rational behavior adjustment process in Yang and Zhang (2009) is further verified. Finally, evolutions of different Lyapunov functions used in the literature are plotted and no obvious diversity is observed.

• Record URL:
  https://doi.org/10.1016/j.trpro.2017.05.038
• Record URL:
  http://www.sciencedirect.com/science/article/pii/S2352146517303162
• Availability:
  • Find a library where document is available. Order URL: http://worldcat.org/issn/23521465
• Supplemental Notes:
  • © 2017 Hongbo Ye et al. Elsevier B.V.
• Authors:
  • Ye, Hongbo
  • Xiao, Feng
  • Yang, Hai
• Conference:
  • 22nd International Symposium on Transportation and Traffic Theory
  • Location: Chicago Illinois, United States
  • Date: 2017-6-24 to 2017-6-26
• Publication Date: 2017

Language

• English

Media Info

• Media Type: Digital/other
• Features: Figures; References; Tables;
• Pagination: pp 679-699
• Serial:
  • Transportation Research Procedia
  • Volume: 23
  • Issue Number: 0
  • Publisher: Elsevier
  • ISSN: 2352-1465
  • Serial URL: http://www.sciencedirect.com/science/journal/23521465/
• Publication flags:

  Open Access (libre)

Subject/Index Terms

• TRT Terms: Behavior; Calibration; Experiments; Mobile applications; Route choice; Travel time; Virtual reality
• Uncontrolled Terms: User equilibrium; Wardrop model
• Subject Areas: Data and Information Technology; Highways; Operations and Traffic Management;

Filing Info

• Accession Number: 01642336
• Record Type: Publication
• Files: TRIS
• Created Date: Jun 19 2017 3:44PM