Ye, H, Xiao, F and Yang, H (2017) Exploration of day-to-day route choice models by a virtual experiment. In: Transportation Research Procedia. 22nd International Symposium on Transportation and Traffic Theory (ISTTT), 24-26 Jul 2017, Evanston, IL, USA. Elsevier , pp. 679-699.
Abstract
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, we 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.
Metadata
Item Type: | Proceedings Paper |
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Authors/Creators: |
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Copyright, Publisher and Additional Information: | © 2017 The Authors. Published by Elsevier B.V. This is an open access article under the terms of the Creative Commons Attribution-NonCommercial-NoDerivatives (CC BY-NC-ND) License. |
Keywords: | Day-to-day flow dynamics; virtual route choice experiment; regression analysis; model calibration; comparison |
Dates: |
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Institution: | The University of Leeds |
Academic Units: | The University of Leeds > Faculty of Environment (Leeds) > Institute for Transport Studies (Leeds) > ITS: Spatial Modelling and Dynamics (Leeds) |
Depositing User: | Symplectic Publications |
Date Deposited: | 20 Jun 2017 11:16 |
Last Modified: | 20 Jun 2017 11:16 |
Status: | Published |
Publisher: | Elsevier |
Identification Number: | 10.1016/j.trpro.2017.05.038 |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:117953 |