Ye, Hongbo, Xiao, Feng and Yang, Hai
(2018)
Exploration of day-to-day route choice models by a virtual experiment.
Transportation Research Part C: Emerging Technologies, 94.
pp. 220-235.
Abstract
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.
Item Type: | Article |
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Uncontrolled Keywords: | Behavioral and Social Science |
Depositing User: | Symplectic Admin |
Date Deposited: | 10 Dec 2019 09:43 |
Last Modified: | 17 Mar 2024 00:23 |
DOI: | 10.1016/j.trc.2017.08.020 |
Open Access URL: | http://eprints.whiterose.ac.uk/121278/ |
Related URLs: | |
URI: | https://livrepository.liverpool.ac.uk/id/eprint/3065602 |