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A Novel Methodology to Detect Bone Cancer Stage Using Mean Intensity of MRI Imagery and Region Growing Algorithm Read chapter Read first chapter

2016 | OriginalPaper | Chapter

A GIS and Agent-Based Model to Simulate Fire Emergency Response

Authors : Mainak Bandyopadhyay, Varun Singh

Published in: Proceedings of the International Congress on Information and Communication Technology

Publisher: Springer Singapore

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Abstract

In this paper a computing model for Fire Emergency Response is discussed. The Fire Emergency Response (FER) is considered here as a complex heterogeneous system. The FER system is composed of Fire Incident, Fire Station, Fire Emergency Vehicle, and Road Network components. Agent-based Modeling (ABM) is used to model the properties and behavior of each of the components. To incorporate the spatial properties and spatial operations in relation to modeling the behavior of components Geographical Information System (GIS) is used. The simulation of the model will provide the results of dynamical behavior of components through interaction with other components. The FER system model is implemented in GAMA 1.5.1 a GIS and agent modeling platform for simulation.

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Bandyopadhyay, M., Singh, V.: Formalization of Entities for Agent Based Simulation Using Situation Calculus: A Specific Case Study of Fire Emergency Response. In IEEE International Conference on Computational Intelligence and Communication Networks (CICN), 1188–1194 (2014).
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Bukowski, R.W., Hurley, M. J.: Fire Hazard Analysis Techniques. NFPA, Fire Protection Handbook, Section 3, Chapter 7, 121–134 (2003).
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Metadata
Title
A GIS and Agent-Based Model to Simulate Fire Emergency Response
Authors
Mainak Bandyopadhyay
Varun Singh
Copyright Year
2016
Publisher
Springer Singapore
Book
Proceedings of the International Congress on Information and Communication Technology

Print ISBN: 978-981-10-0754-5

Electronic ISBN: 978-981-10-0755-2

Copyright Year: 2016

DOI
https://doi.org/10.1007/978-981-10-0755-2_36