An agent-based model for large scale parallel simulation of natural disasters in towns and cities : civilians and power

Authors
Antolik, Curtis
ORCID
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Other Contributors
Carothers, Christopher D.
Krishnamoorthy, M. S.
Yener, Bülent, 1959-
Issue Date
2013-05
Keywords
Computer science
Degree
MS
Terms of Use
This electronic version is a licensed copy owned by Rensselaer Polytechnic Institute, Troy, NY. Copyright of original work retained by author.
Full Citation
Abstract
Natural disasters are a major cause of damage to the populace and infrastructure of cities and towns, affecting nearly 250 million people per year. Most frameworks for modeling the effects of disasters focus only on the areas a disaster will hit or on a wide-scale view of an area. The downside of these approaches is that they fail to account accurately for the human factor. Our approach to modeling these disasters uses an agent-based model to simulate events down to the level of the individual person, to allow for a more accurate simulation of the exact effects of a disaster. Additionally, the agent-based model allows us to see what effects changing evacuation plans and populace preparedness has on the overall loss of life in a disaster. This thesis is meant to provide a useful and fast parallel framework to aid in simulating disasters and optimizing contingency plans.
Description
May 2013
School of Science
Department
Dept. of Computer Science
Publisher
Rensselaer Polytechnic Institute, Troy, NY
Relationships
Rensselaer Theses and Dissertations Online Collection
Access
Restricted to current Rensselaer faculty, staff and students. Access inquiries may be directed to the Rensselaer Libraries.