Journal
TRANSPORTATION RESEARCH PART C-EMERGING TECHNOLOGIES
Volume 94, Issue -, Pages 220-235Publisher
PERGAMON-ELSEVIER SCIENCE LTD
DOI: 10.1016/j.trc.2017.08.020
Keywords
Day-to-day flow dynamics; Virtual route choice experiment; Regression analysis; Model calibration; Model comparison
Categories
Funding
- National Natural Science Foundation of China [71622007, 71431003, 71371020]
- Research Grants Council of the Hong Kong SAR of China [HKUST16211114]
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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. (C) 2017 Elsevier Ltd. All rights reserved.
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