Abstract
Responding to natural or man-made disasters in a timely and effective manner can reduce deaths and injuries, contain or prevent secondary disasters, and reduce the resulting economic losses and social disruption. Appropriate IT solutions can improve this response. However, exhaustive and realistic validation of these IT solutions is difficult; proofs are not available, simulations lack realism, and drills are expensive and cannot be reproduced. This paper presents DrillSim: a simulation environment that plays out the activities of a crisis response (e.g., evacuation). It has capabilities to integrate real-life drills into a simulated response activity using an instrumented environment with sensing and communication capabilities. IT solutions can be plugged in the simulation system to study their effectiveness in disaster management and response. This way, by using a simulation coupled with an on-going drill, IT solutions can be tested in a less expensive but realistic scenario.
This research has been supported by the National Science Foundation under award numbers 0331707 and 0331690.
This is a preview of subscription content, log in via an institution to check access.
Preview
Unable to display preview. Download preview PDF.
Similar content being viewed by others
References
MicroOptical-SV-6 PC Viewer specification (2003)
EGRESS (2005), http://www.aeat-safety-and-risk.com/html/egress.html
Ekahau Positioning Engine. (2005), http://www.ekahau.com/
Interdependent Infrastructure Modeling, Simulation, and Analysis Project (SOFIA), Los Alamos National Laboratory (2005), http://www.lanl.gov/orgs/d/d4/infra/sofia.html
Myriad (2005), http://www.crowddynamics.com
Responsphere (2005), http://www.responsphere.org
Robocup-Rescue Simulation Project (2005), http://www.rescuesystem.org/robocuprescue/
Simulex: Simulation of Occupant Evacuation (2005), http://www.iesve.com
The Urban Security Initiative, Los Alamos National Laboratory (2005), http://www.lanl.gov/orgs/d/d4/infra/urban.html
Bahl, P., Padmanabhan, V.N.: RADAR: an In-Building RF-Based User Location and Tracking System. In: INFOCOM, vol. (2), pp. 775–784 (2000)
Bellifemine, F., Poggi, A., Rimassa, G., Turci, P.: An object oriented framework to realize agent systems. In: WOA 2000 (May 2000)
Cristoforetti, J.: Multimodal Systems in the Management of Emergency Situations. Master’s thesis, Universita de Bologna (2005)
Haykin, S.: Neural Networks - A Comprehensive Foundation. Prentice Hall, Englewood Cliffs (1999)
Jain, S., McLean, C.R.: A Framework for Modeling and Simulation for Emergency Response. In: Winter Simulation Conference (2003)
Jain, S., McLean, C.R.: An Integrating Framework for Modeling and Simulation of Emergency Response. Simulation Journal: Transactions of the Society for Modeling and Simulation International (2003)
Jain, S., McLean, C.R.: An Architecture for Modeling and Simulation of Emergency Response. In: Proceedings of the 2004 IIE Conference (2004)
John, L., Hennessy, D.A.P., Lin, S.H.:
Mehrotra, S., Butts, C., Kalashnikov, D., Venkatasubramanian, N., Rao, R., Chockalingam, G., Eguchi, R., Adams, B., Huyck, C.: Project rescue: Challenges in responding to the unexpected. SPIE Journal of Electronic Imaging, Displays, and Medical Imaging 5304, 179–192 (2004)
Murakami, Y., Minami, K., et al.: Multi-Agent Simulation for Crisis Management. In: KMN (2002)
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2006 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Balasubramanian, V., Massaguer, D., Mehrotra, S., Venkatasubramanian, N. (2006). DrillSim: A Simulation Framework for Emergency Response Drills. In: Mehrotra, S., Zeng, D.D., Chen, H., Thuraisingham, B., Wang, FY. (eds) Intelligence and Security Informatics. ISI 2006. Lecture Notes in Computer Science, vol 3975. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11760146_21
Download citation
DOI: https://doi.org/10.1007/11760146_21
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-34478-0
Online ISBN: 978-3-540-34479-7
eBook Packages: Computer ScienceComputer Science (R0)