NDLI: An agent-based discrete event simulation approach for modeling large-scale disaster evacuation network

Content Provider	IEEE Xplore Digital Library
Author	Na, Hyeong Suk Banerjee, Amarnath
Copyright Year	2014
Description	Author affiliation: Industrial and Systems Engineering, Texas A&M University, 3131 TAMU, College Station, 77843, USA (Na, Hyeong Suk; Banerjee, Amarnath)
Abstract	The need for appropriate evacuation strategies is always a daunting problem when confronted with a large-scale natural disaster. The challenge is to find a policy that maximizes the number of survivors and minimizes the total cost simultaneously under a set of resource and geographic constraints. We develop an agent-based discrete event simulation (ABDES) evacuation framework based on an embedded geographic information system (GIS) module to solve a network evacuation problem that involves multiple candidate shelters, multi-priorities evacuees and several vehicle types. The evacuation framework consists of three interacting components: a disaster scenario generator module, a GIS module for analyzing an evacuation network, and an ABDES module. We conduct experiments using the city of Galveston as an example. The evacuation framework offers insight to decision-makers about the number and location of shelters, allocation and assignment of evacuation vehicles, and distribution of relief resources that are required to complete a large-scale evacuation.
Starting Page	1516
Ending Page	1526
File Size	544025
Page Count	11
File Format	PDF
e-ISBN	9781479974863
DOI	10.1109/WSC.2014.7020004
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2014-12-07
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Computational modeling Vehicles Geographic information systems Analytical models Microscopy Adaptation models Discrete event simulation
Content Type	Text
Resource Type	Article

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