Exploration of day-to-day route choice models by a virtual experiment |
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| Institution: | 1. School of Economics and Management, Beihang University, Beijing 100191, China; and Key Lab of Complex System Analysis and Management Decision, Ministry of Education, China;2. Department of Civil and Environmental Engineering, The Hong Kong University of Science and Technology, Kowloon, Hong Kong, China;1. Institute for Transport Studies, University of Leeds, United Kingdom;2. School of Business Administration, Southwestern University of Finance and Economics, PR China;3. Department of Civil and Environmental Engineering, The Hong Kong University of Science and Technology, Clear Water Bay, Kowloon, Hong Kong, PR China |
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| 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. |
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| Keywords: | Day-to-day flow dynamics Virtual route choice experiment Regression analysis Model calibration Model comparison |
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