NDLI: A column-generation approach for joint mobilization and evacuation planning

Content Provider	Springer Nature Link
Author	Pillac, Victor Cebrian, Manuel Hentenryck, Pascal
Copyright Year	2015
Abstract	Large-scale evacuations require authorities to decide and stage evacuation routes, mobilize resources, and issue evacuation orders under strict time constraints. These decisions must consider both the capacity of the road network and the evolution of the threat (e.g., a bushfire or a flood). This paper proposes, for the first time, an optimization model that jointly optimizes the mobilization and evacuation planning, taking into account the behavioral response of evacuees and the allocation of resources for communicating and implementing evacuation orders. From a technical standpoint, the model is solved by a column generation algorithm that jointly decides the evacuation route, evacuation time, and the resource allocation for each evacuated area in order to maximize the number of evacuees reaching safety and minimize the total duration of the evacuation.
Starting Page	285
Ending Page	303
Page Count	19
File Format	PDF
ISSN	13837133
Journal	Constraints
Volume Number	20
Issue Number	3
e-ISSN	15729354
Language	English
Publisher	Springer US
Publisher Date	2015-04-21
Publisher Place	New York
Access Restriction	One Nation One Subscription (ONOS)
Subject Keyword	Evacuation planning Column generation Behavioral operations research Artificial Intelligence (incl. Robotics) Optimization Computing Methodologies Operations Research/Decision Theory
Content Type	Text
Resource Type	Article
Subject	Discrete Mathematics and Combinatorics Artificial Intelligence Computational Theory and Mathematics Software

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