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Title:

Computational Precision of Traffic Equilibria Sensitivities

Accession Number:

01516769

Record Type:

Component

Availability:

Transportation Research Board Business Office

500 Fifth Street, NW
Washington, DC 20001 United States

Abstract:

Recent studies demonstrate the importance of computational precision of user equilibrium traffic assignment solutions for scenario comparisons. There are cases when one is interested not only in a precise equilibrium solution to specific inputs, but also in precise evaluation of the sensitivity of the equilibrium solution to input perturbation. An example for this need is when traffic assignment is hierarchically embedded in a model for network design and/or road pricing. Another example may be related to analyses of input uncertainties. The main purpose of this paper is to present a method for efficient and precise computations of equilibrium derivatives. Numerical experiments on a medium-sized network are used to demonstrate the precision of computed equilibrium derivatives using the proposed method.

Supplemental Notes:

This paper was sponsored by TRB committee ADB30(2) Network Equilibrium Modeling. Alternate title: Computational Precision of Traffic Equilibrium Sensitivities.

Monograph Accession #:

01503729

Report/Paper Numbers:

14-2606

Language:

English

Corporate Authors:

Transportation Research Board

500 Fifth Street, NW
Washington, DC 20001 United States

Authors:

Bar-Gera, Hillel
Hellman, Fredrik
Patriksson, Michael

Pagination:

24p

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

Uncontrolled Terms:

Subject Areas:

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

Source Data:

Transportation Research Board Annual Meeting 2014 Paper #14-2606

Files:

TRIS, TRB, ATRI

Created Date:

Jan 27 2014 2:54PM