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Title: Incorporating Trip Chains into Traffic Assignment with Stochastic Driving Ranges
Accession Number: 01632426
Record Type: Component
Abstract: This paper presents a new equilibrium modeling and solution method for evaluating the impacts of stochastic range anxiety on travel choices and traffic flows in networks serving electric vehicles. Range anxiety within the driving population is represented by individual perceived driving ranges, which are specified by a continuous probability distribution. Convex optimization and variational inequality models are constructed for describing such a network with joint activity location and travel path choices on trip chains subject to driving ranges. An adaption of the projected gradient method is implemented to solve the problem, with the introduction of new decision variables such as path-referred traffic subflow rate and travel subdemand rate. An illustrative example with various forms of driving range distributions demonstrates the applicability of the proposed modeling and solution methods and various impacts of the heterogeneity of range anxiety on network flows.
Supplemental Notes: This paper was sponsored by TRB committee ADB30 Standing Committee on Transportation Network Modeling.
Monograph Title: Monograph Accession #: 01618707
Report/Paper Numbers: 17-04490
Language: English
Corporate Authors: Transportation Research Board 500 Fifth Street, NW Authors: Wang, Tong-GenXie, ChiPagination: 23p
Publication Date: 2017
Conference:
Transportation Research Board 96th Annual Meeting
Location:
Washington DC, United States Media Type: Digital/other
Features: Figures; References
(25)
; Tables
TRT Terms: Subject Areas: Data and Information Technology; Highways; Planning and Forecasting; Safety and Human Factors
Source Data: Transportation Research Board Annual Meeting 2017 Paper #17-04490
Files: TRIS, TRB, ATRI
Created Date: Dec 8 2016 11:43AM
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