A GIS and Agent-Based Model to Simulate Fire Emergency Response
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 N
- PDF / 264,769 Bytes
- 9 Pages / 439.37 x 666.142 pts Page_size
- 19 Downloads / 187 Views
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.
Keywords Fire emergency response Agent-based modeling and simulation Agent Complex system Geographical information system
1 Introduction As the notion of smart cities is gaining popularity among policy makers in transitional countries, a better and smart emergency management infrastructure as part of smart cities is considered a basic component. Here, development of a computing model for fire emergency response (FER) is discussed. From a system point of view, FER can be divided into various behaviorally independent components like Fire Incident, Fire Emergency Vehicle, Fire Station, and Road Network, which trigger the activity of other components in some point of time or space. It can be regarded as a complex heterogeneous system. Agent-based modeling Mainak Bandyopadhyay (&) GIS Cell, MNNIT Allahabad, Allahabad, India e-mail: [email protected] Varun Singh Department of Civil Engineering, MNNIT Allahabad, Allahabad, India e-mail: [email protected] © Springer Science+Business Media Singapore 2016 S.C. Satapathy et al. (eds.), Proceedings of the International Congress on Information and Communication Technology, Advances in Intelligent Systems and Computing 439, DOI 10.1007/978-981-10-0755-2_36
341
342
Mainak Bandyopadhyay and Varun Singh
(ABM) represents various constituent components of a complex system as Agent and Resources. Being a micro simulation approach ABMS captures both local and global system dynamics in a heterogeneous complex system [1]. While modeling a system as Agents the dynamics of the system is captured through interaction between the ABM entities. While modeling the FER as ABM, the components of the FER are modeled as ABM Entities, i.e., Agents and Resources. It is inevitable to accurately and completely model and simulate FER without including the spatial dimension. The locational information and related operations are incorporated in ABM using GIS. The GIS-based ABM is implemented in GAMA 1.5.1 for simulation.
2 Related Background The modeling and simulation of complex heterogeneous systems requires identification of basic components of the system and modeling them as individual and autonomous entities. The overall dynamics of the system at a particular instance of time depends on the collective interaction of vario
Data Loading...
