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Title:

Robust Optimization for Dynamic Traffic Assignment Under Demand Uncertainty

Accession Number:

01152075

Record Type:

Component

Availability:

Transportation Research Board Business Office

500 Fifth Street, NW
Washington, DC 20001 United States

Abstract:

This paper considers operation and planning of surface transportation networks in an uncertain environment. A Cell Transmission Model (CTM) with a system optimal objective is used to model traffic dynamics. In particular, we focus on demand uncertainty residing in an appropriate uncertainty set such as box or polyhedral uncertainty set. We formulated an Affinely Adjustable Robust Counterpart (AARC) based linear programming model to study the multi-period transportation planning and operating problem. Simulation experiments show that the AARC solution provides excellent results when compared to Robust Counterpart(RC) solution and sampling based stochastic programming solution.

Monograph Accession #:

01147878

Report/Paper Numbers:

10-3679

Language:

English

Corporate Authors:

Transportation Research Board

500 Fifth Street, NW
Washington, DC 20001 United States

Authors:

Yao, Tao
Ben-Tal, Aharon
Chung, Byung Do
Mandala, Supreet Reddy

Pagination:

25p

Publication Date:

2010

Conference:

Transportation Research Board 89th Annual Meeting

Location: Washington DC, United States
Date: 2010-1-10 to 2010-1-14
Sponsors: Transportation Research Board

Media Type:

DVD

Features:

Figures (6) ; Maps (1) ; References; Tables (13)

Subject Areas:

Highways; Operations and Traffic Management; I72: Traffic and Transport Planning; I73: Traffic Control

Source Data:

Transportation Research Board Annual Meeting 2010 Paper #10-3679

Files:

TRIS, TRB

Created Date:

Jan 25 2010 11:52AM