Optimization of the issuance of evacuation orders under evolving hurricane conditions
This paper develops a bi-level programming model to optimize the issuance of evacuation orders with explicit consideration of (i) the highly uncertain evolution of the storm, and (ii) the complexity of the behavioral reaction to evolving storm conditions. A solution procedure based on progressive hedging is developed. A realistic case study for the eastern portion of the state of North Carolina is presented. Through the case study the authors demonstrate (1) the value of developing an evacuation order policy based on the evolution of the storm in contrast to a static policy; (2) the richness in the insights that can be provided by linking the behavioral models for evacuation decision-making with dynamic traffic assignment-based network flow models in a hurricane context; and (3) the computational promise of a progressive hedging-based solution procedure to solve large instances of the model.
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Availability:
- Find a library where document is available. Order URL: http://worldcat.org/issn/01912615
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Supplemental Notes:
- Abstract reprinted with permission of Elsevier.
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Authors:
- Yi, Wenqi
- Nozick, Linda
- Davidson, Rachel
- Blanton, Brian
- Colle, Brian
- Publication Date: 2017-1
Language
- English
Media Info
- Media Type: Web
- Features: Appendices; Figures; References; Tables;
- Pagination: pp 285-304
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Serial:
- Transportation Research Part B: Methodological
- Volume: 95
- Publisher: Elsevier
- ISSN: 0191-2615
- Serial URL: http://www.sciencedirect.com/science/journal/01912615
Subject/Index Terms
- TRT Terms: Decision making; Dynamic traffic assignment; Evacuation; Hurricanes; Mathematical programming; Optimization; Stochastic programming
- Geographic Terms: North Carolina
- Subject Areas: Highways; Operations and Traffic Management; Planning and Forecasting; Security and Emergencies;
Filing Info
- Accession Number: 01624741
- Record Type: Publication
- Files: TRIS
- Created Date: Feb 1 2017 9:24AM