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Title: A Discrete Day-to-Day Route Flow Dynamic Model for the Mixed Equilibrium Behavior
Accession Number: 01627526
Record Type: Component
Abstract: This study investigates a travelers’ day-to-day route flow dynamic model under a predefined market penetration of advanced traveler information system (ATIS). It is assumed that some travelers equipped with ATIS will follow the deterministic user equilibrium route choice behavior due to the complete traffic information provided by ATIS, while the other travelers unequipped with ATIS will follow the stochastic user equilibrium route choice behavior. The interaction between these two groups of travelers will result in a mixed equilibrium state. The authors first propose a discrete day-to-day route flow adjustment process for this mixed equilibrium behavior by specifying the travelers’ route adjustment principle and adjustment ratio. The convergence of proposed day-to-day flow dynamic model to the mixed equilibrium state is rigorously demonstrated under certain assumptions on route adjustment principle and adjustment ratio. In addition, without affecting the convergence of proposed day-to-day flow dynamic model, the assumption on the adjustment ratio is further relaxed, thus making the proposed model more appealing in practice. Finally, numerical experiments are conducted to illustrate the performance of proposed day-to-day flow dynamic model.
Supplemental Notes: This paper was sponsored by TRB committee ADB30 Standing Committee on Transportation Network Modeling. Alternate title: Discrete Day-to-Day Route Flow Dynamic Model for Mixed Equilibrium Behavior.
Monograph Title: Monograph Accession #: 01618707
Report/Paper Numbers: 17-02258
Language: English
Corporate Authors: Transportation Research Board 500 Fifth Street, NW Authors: Zhou, BojianXu, MinMeng, QiangHuang, ZhongxiangPagination: 18p
Publication Date: 2017
Conference:
Transportation Research Board 96th Annual Meeting
Location:
Washington DC, United States Media Type: Digital/other
TRT Terms: Subject Areas: Highways; Operations and Traffic Management
Source Data: Transportation Research Board Annual Meeting 2017 Paper #17-02258
Files: TRIS, TRB, ATRI
Created Date: Dec 8 2016 10:50AM
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