Evacuation Transportation Planning Under Uncertainty: A Robust Optimization Approach

This paper considers evacuation via surface transportation networks in an uncertain environment. We focus on demand uncertainty which can lead to significant infeasibility cost during evacuation, where loss of life or property may appear. We develop a robust linear programming model based on a robus...

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Bibliographic Details
Published in:Networks and spatial economics 2009-06, Vol.9 (2), p.171-189
Main Authors: Yao, Tao, Mandala, Supreet Reddy, Chung, Byung Do
Format: Article
Language:English
Subjects:
Civil Engineering
Convex analysis
Data uncertainty
Decomposition
Dynamic traffic assignment
Economics
Economics and Finance
Evacuation
Evacuations & rescues
Linear programming
Operations Research/Decision Theory
Optimization
Planning
Regional/Spatial Science
Robust optimization
Studies
Traffic assignment
Traffic flow
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Summary:This paper considers evacuation via surface transportation networks in an uncertain environment. We focus on demand uncertainty which can lead to significant infeasibility cost during evacuation, where loss of life or property may appear. We develop a robust linear programming model based on a robust optimization approach where hard constraints are guaranteed within an appropriate uncertainty set. The robust counterpart solutions have been shown tractable. We show that the robustness in evacuation is important and a robust solution outperforms a nominal deterministic solution in both quality and feasibility.
ISSN:1566-113X
1572-9427
DOI:10.1007/s11067-009-9103-1