Exploration of day-to-day route choice models by a virtual experiment

Hongbo Ye, Feng Xiao, Hai Yang

Research output: Journal article publicationJournal articleAcademic researchpeer-review

23 Citations (Scopus)


This paper examines existing day-to-day models based on a virtual day-to-day route choice experiment using the latest mobile Internet technologies. With the realized day-to-day path flows and path travel times in the experiment, we calibrate several well-designed path-based day-to-day models that take the Wardrop's user equilibrium as (part of) their stationary states. The nonlinear effects of path flows and path time differences on path switching 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. The 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.

Original languageEnglish
Pages (from-to)220-235
Number of pages16
JournalTransportation Research Part C: Emerging Technologies
Publication statusPublished - Sep 2018


  • Day-to-day flow dynamics
  • Model calibration
  • Model comparison
  • Regression analysis
  • Virtual route choice experiment

ASJC Scopus subject areas

  • Civil and Structural Engineering
  • Automotive Engineering
  • Transportation
  • Computer Science Applications

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