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Title:

Evacuation Under Data Uncertainty: Robust Linear Programming Model

Accession Number:

01127393

Record Type:

Component

Availability:

Transportation Research Board Business Office

500 Fifth Street, NW
Washington, DC 20001 United States

Abstract:

This paper considers evacuation via surface transportation networks in an uncertain environment. The authors focus on uncertainty associated with significant infeasibility cost in evacuation, where loss of life or property may appear. In particular, the authors flexibly change the impact of infeasibility in the form of penalty function. We develop a robust linear programming model based on a robust optimization approach. The authors show that the robustness in evacuation is important and a robust solution may outperform a nominal deterministic solution in both quality and feasibility.

Monograph Accession #:

01120148

Report/Paper Numbers:

09-2779

Language:

English

Corporate Authors:

Transportation Research Board

500 Fifth Street, NW
Washington, DC 20001 United States

Authors:

Ben-Tal, Aharon
Mandala, Supreet Reddy
Yao, Tao

Pagination:

24p

Publication Date:

2009

Conference:

Transportation Research Board 88th Annual Meeting

Location: Washington DC, United States
Date: 2009-1-11 to 2009-1-15
Sponsors: Transportation Research Board

Media Type:

DVD

Features:

Figures (1) ; References (33) ; Tables (4)

Subject Areas:

Highways; Planning and Forecasting; Public Transportation; Security and Emergencies; I72: Traffic and Transport Planning

Source Data:

Transportation Research Board Annual Meeting 2009 Paper #09-2779

Files:

TRIS, TRB

Created Date:

Jan 30 2009 7:08PM