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Title:

A General Primal-Dual Modeling Framework for Stochastic Traffic Assignment Problems

Accession Number:

01519059

Record Type:

Component

Availability:

Transportation Research Board Business Office

500 Fifth Street, NW
Washington, DC 20001 United States

Abstract:

This paper discusses a set of traffic assignment problems with route choices specified by random utility theory in a primal-dual modeling framework. The primal-dual modeling framework presents such a common functional form that can accommodate a wide range of different traffic assignment problems. Particular attention is given to the dual formulation in that its unconstrained feature opens the door of applying unconstrained optimization algorithms for its embraced traffic assignment problems. Numerical examples are provided to support the insights and facts derived from applying the primal and dual formulations to model stochastic system-optimal and user-equilibrium problems and justify the conjugate relationship between the primal and dual models.

Supplemental Notes:

This paper was sponsored by TRB committee ADB30(10) Paper Review Group #6. Alternate title: General Primal-Dual Modeling Framework for Stochastic Traffic Assignment Problems.

Monograph Accession #:

01503729

Report/Paper Numbers:

14-5248

Language:

English

Corporate Authors:

Transportation Research Board

500 Fifth Street, NW
Washington, DC 20001 United States

Authors:

Xie, Chi

Pagination:

22p

Publication Date:

2014

Conference:

Transportation Research Board 93rd Annual Meeting

Location: Washington DC
Date: 2014-1-12 to 2014-1-16
Sponsors: Transportation Research Board

Media Type:

Digital/other

Features:

Figures; References; Tables

Subject Areas:

Highways; Planning and Forecasting; I72: Traffic and Transport Planning

Source Data:

Transportation Research Board Annual Meeting 2014 Paper #14-5248

Files:

TRIS, TRB, ATRI

Created Date:

Jan 27 2014 3:50PM