Design of Real Time Early Response Systems for Natural Disaster Management Based On Automation and Control Technologies
A new concept of response system is proposed for
filling the gap that exists in reducing vulnerability during immediate
response to natural disasters. Real Time Early Response Systems
(RTERSs) incorporate real time information as feedback data for
closing control loop and for generating real time situation assessment.
A review of the state of the art on works that fit the concept of
RTERS is presented, and it is found that they are mainly focused on
manmade disasters. At the same time, in response phase of natural
disaster management many works are involved in creating early
warning systems, but just few efforts have been put on deciding what
to do once an alarm is activated. In this context a RTERS arises as a
useful tool for supporting people in their decision making process
during natural disasters after an event is detected, and also as an
innovative context for applying well-known automation technologies
and automatic control concepts and tools.
[1] D. McLoughlin, "A framework for integrated emergency management,"
Public Administration Review, vol. 45, pp. 165 - 172, 1985.
[2] International Strategy for Disaster Reduction ISDR, UNISDR
Terminology on disaster risk reduction, United Nations, 2009.
[3] D. D. Given, E. S. Cochran, T. Heaton, E. Hauksson, R. Allen, P.
Hellweg, J. Vidale and P. Bodin, "Technical implementation plan for the
Shake Alert production system - An earthquake early warning system
for the west coast of the United States," USGS Open File Report 2014-
1097, 2014.
[4] T. Steinmetz, U. Raape , S. Teβmann, C. Strobl, M. Friedemann , T.
Kukofka, T. Riedlinger, E. Mikusch and S. Dech, "Tsunami early
warning and decision support," Natural Hazards and Earth System
Sciences, vol. 10, no. 9, pp. 1839 - 1850, 2010.
[5] G. Strunz, J. Post, K. Zosseder, S. Wegscheider, M. Mück, T.
Riedlinger, H. Mehl, S. Dech, J. Birkmann, N. Gebert, H. Harjono, H. Z.
Anwar, Sumaryono, R. M. Khomarudin and A. Muhari, "Tsunami risk
assessment in Indonesia," Natural Hazards and Earth System Sciences,
vol. 11, no. 1, pp. 67 - 82, 2011.
[6] S. Basak and B. D. Mazumdar, "On agent mediated coordination
strategies and its application in disaster management system," in Recent
Advances in Information Technology (RAIT), 2012 1st International
Conference on, 2012.
[7] E. Domnori, G. Cabri and L. Leonardi, "Multi-agent approach for
disaster management," in P2P, Parallel, Grid, Cloud and Internet
Computing (3PGCIC), 2011 International Conference on, 2011.
[8] A. Izida, T. da Rocha, M. das Graças, M. Steinberger-Elias, W. T.
Botelho and R. dos Santos, "Emergency care in situations of natural
disaster: a multi-agent approach," in Internet Technology And Secured
Transactions, 2012 International Conference for, 2012.
[9] P. Earle, D. Wald, K. Jaiswal, T. Allen, M. Hearne, K. Marano, A.
Hotovec and J. Fee, "Prompt Assessment of Global Earthquakes for
Response (PAGER): a system for rapidly determining the impact of
earthquakes worldwide," USGS Open File Report 1131, 2009.
[10] M. Erdik, Y. Fahjan, O. Ozel, H. Alcik, A. Mert and M. Gul, "Istanbul
earthquake rapid response and the early warning system," Bulletin of
Earthquake Engineering, vol. 1, no. 1, pp. 157 - 163, 2003.
[11] R. J. Dawson, R. Peppe and M. Wang, "An agent-based model for riskbased
flood incident management," Natural Hazards, vol. 59, no. 1, pp.
167 - 189, 2011.
[12] S. Pak and T. Hayakawa, "Formation control of multi-agent systems for
urban earthquake disasters: model predictive control approach," in SICE
Annual Conference, 2008.
[13] U. Manzoor, M. Zubair and K. Batool, "Using multi-agent systems to
solve food distribution problem in disaster area," in Internet Technology
and Secured Transactions (ICITST), 2013 8th International Conference
for, 2013.
[14] J. C. V. de León, J. Bogardi, S. Dannenmann and R. Basher, "Early
warning systems in the context of disaster risk management,"
Entwicklung & Ländlicher Raum, vol. 2, pp. 23 - 25, 2006.
[15] P. Wang, P. B. Luh, S. C. Chang and J. Sun, "Modeling and
optimization of crowd guidance for building emergency evacuation," in
Automation Science and Engineering. CASE 2008. IEEE International
Conference on, 2008.
[16] A. Filippoupolitis and E. Gelenbe, "A decision support system for
disaster management in buildings," in Proceedings of the 2009 Summer
Computer Simulation Conference, 2009.
[17] B. Pizzileo, P. Lino, G. Maione and B. Maione, "A new escape routing
strategy for controlling evacuation from buildings," in American Control
Conference (ACC), 2010.
[18] H. Bi, "Routing diverse evacuees with the cognitive packet network
algorithm," Future Internet, vol. 6, no. 2, pp. 203 - 222, 2014.
[19] K. Ogata, "Introduction to control systems," in Modern Control
Engineering 5th Edition, Prentice Hall, 2010, pp. 1-12.
[20] B. T. Stewart, A. N. Venkat, J. B. Rawlings, S. J. Wright and G.
Pannocchia, "Cooperative distributed model predictive control," Systems
& Control Letters, vol. 59, no. 8, pp. 460 - 469, 2010.
[21] A. Filippoupolitis, G. Loukas, S. Timotheou, N. Dimakis and E.
Gelenbe, "Emergency response systems for disaster management in
buildings," in Proceedings of the NATO Symposium on C3I for Crisis,
Emergency and Consequence Management, Bucharest, Romania, 2009.
[22] D. Pinto and A. Cipriano, "Tsunami Early Warning System Architecture
based on automation technologies," in Information and Communication
Technologies for Disaster Management ICT-DM, 2014 1st International
Conference on, 2014.
[23] N. Adams, M. Field, E. Gelenbe, D. Hand, N. Jennings, D. Leslie , D.
Nicholson, S. Ramchurn and A. Rogers, "The ALADDIN project:
intelligent agents for disaster management," 2008 [24] B. Faulkner, "Towards a framework for tourism disaster management,"
Tourism Management, vol. 22, no. 2, pp. 135 - 147, 2001.
[25] A. Specht, "Natural disaster management," in Tourism in turbulent
times, Routledge, 2006, pp. 123 - 142.
[26] Y. Fujinawa, Y. Rokugo, Y. Noda, Y. Mizui, M. Kobayashi and E.
Mizutani, "Efforts of earthquake disaster mitigation using earthquake
early warning in Japan," in The 14th World Conference on Earthquake
Engineering, Beijing, China, 2008.
[27] F. Honma and F. Ichikawa, "Earthquake early warning disaster
mitigation system for protecting semiconductor plant in Japan," in The
14th World Conference on Earthquake Engineering, Beijing, China,
2008.
[28] X. Pan, C. Han, K. Dauber and L. Kincho, "Human and social behavior
in computational modeling and analysis of egress," Automation in
Construction, vol. 15, no. 4, pp. 448 - 461, 2006.
[29] H. Kopetz, Real-time systems: design principles for distributed
embedded applications, Springer, 2011.
[30] F. Rammig, M. Ditze, P. Janacik, T. Heimfarth, T. Kerstan, S. Oberthuer
and K. Stahl, "Basic concepts of real time operating systems," in
Hardware-Depend Software, Springer, 2009, pp. 15-45.
[31] J. E. Vargas, Políticas públicas para la reducción de la vulnerabilidad
frente a los desastres naturales y socio-naturales, Santiago de Chile,
Naciones Unidas, CEPAL, División de Medio Ambiente y
Asentamientos Humanos, 2002.
[32] D. Alexander, Natural disasters, Springer, 1993.
[33] J. R. Eiser, A. Bostrom, I. Burton, D. M. Johnston, J. McClure, D. Paton,
J. van der Pligt and M. P. White, "Risk interpretation and action: a
conceptual framework for responses to natural hazards," International
Journal of Disaster Risk Reduction, vol. 1, pp. 5 - 16, 2012.
[34] K. Tani, Y. Maeda and N. Ito, "A study of the evacuation behavior
simulation to investigate the effect of concessions and obstacles," in
Computational Intelligence Applications (IWCIA), IEEE Sixth
International Workshop on, 2013.
[35] D. Helbing, I. Farkas and T. Vicsek, "Simulating dynamical features of
escape panic," Nature, vol. 407, no. 6803, pp. 487 - 490, 2000.
[36] S. Elkosantini and D. Gien, "Human behavior and social network
simulation: fuzzy sets/logic and agent-based approach," in Proceedings
of the 2007 Spring Simulation Multiconference, 2007.
[1] D. McLoughlin, "A framework for integrated emergency management,"
Public Administration Review, vol. 45, pp. 165 - 172, 1985.
[2] International Strategy for Disaster Reduction ISDR, UNISDR
Terminology on disaster risk reduction, United Nations, 2009.
[3] D. D. Given, E. S. Cochran, T. Heaton, E. Hauksson, R. Allen, P.
Hellweg, J. Vidale and P. Bodin, "Technical implementation plan for the
Shake Alert production system - An earthquake early warning system
for the west coast of the United States," USGS Open File Report 2014-
1097, 2014.
[4] T. Steinmetz, U. Raape , S. Teβmann, C. Strobl, M. Friedemann , T.
Kukofka, T. Riedlinger, E. Mikusch and S. Dech, "Tsunami early
warning and decision support," Natural Hazards and Earth System
Sciences, vol. 10, no. 9, pp. 1839 - 1850, 2010.
[5] G. Strunz, J. Post, K. Zosseder, S. Wegscheider, M. Mück, T.
Riedlinger, H. Mehl, S. Dech, J. Birkmann, N. Gebert, H. Harjono, H. Z.
Anwar, Sumaryono, R. M. Khomarudin and A. Muhari, "Tsunami risk
assessment in Indonesia," Natural Hazards and Earth System Sciences,
vol. 11, no. 1, pp. 67 - 82, 2011.
[6] S. Basak and B. D. Mazumdar, "On agent mediated coordination
strategies and its application in disaster management system," in Recent
Advances in Information Technology (RAIT), 2012 1st International
Conference on, 2012.
[7] E. Domnori, G. Cabri and L. Leonardi, "Multi-agent approach for
disaster management," in P2P, Parallel, Grid, Cloud and Internet
Computing (3PGCIC), 2011 International Conference on, 2011.
[8] A. Izida, T. da Rocha, M. das Graças, M. Steinberger-Elias, W. T.
Botelho and R. dos Santos, "Emergency care in situations of natural
disaster: a multi-agent approach," in Internet Technology And Secured
Transactions, 2012 International Conference for, 2012.
[9] P. Earle, D. Wald, K. Jaiswal, T. Allen, M. Hearne, K. Marano, A.
Hotovec and J. Fee, "Prompt Assessment of Global Earthquakes for
Response (PAGER): a system for rapidly determining the impact of
earthquakes worldwide," USGS Open File Report 1131, 2009.
[10] M. Erdik, Y. Fahjan, O. Ozel, H. Alcik, A. Mert and M. Gul, "Istanbul
earthquake rapid response and the early warning system," Bulletin of
Earthquake Engineering, vol. 1, no. 1, pp. 157 - 163, 2003.
[11] R. J. Dawson, R. Peppe and M. Wang, "An agent-based model for riskbased
flood incident management," Natural Hazards, vol. 59, no. 1, pp.
167 - 189, 2011.
[12] S. Pak and T. Hayakawa, "Formation control of multi-agent systems for
urban earthquake disasters: model predictive control approach," in SICE
Annual Conference, 2008.
[13] U. Manzoor, M. Zubair and K. Batool, "Using multi-agent systems to
solve food distribution problem in disaster area," in Internet Technology
and Secured Transactions (ICITST), 2013 8th International Conference
for, 2013.
[14] J. C. V. de León, J. Bogardi, S. Dannenmann and R. Basher, "Early
warning systems in the context of disaster risk management,"
Entwicklung & Ländlicher Raum, vol. 2, pp. 23 - 25, 2006.
[15] P. Wang, P. B. Luh, S. C. Chang and J. Sun, "Modeling and
optimization of crowd guidance for building emergency evacuation," in
Automation Science and Engineering. CASE 2008. IEEE International
Conference on, 2008.
[16] A. Filippoupolitis and E. Gelenbe, "A decision support system for
disaster management in buildings," in Proceedings of the 2009 Summer
Computer Simulation Conference, 2009.
[17] B. Pizzileo, P. Lino, G. Maione and B. Maione, "A new escape routing
strategy for controlling evacuation from buildings," in American Control
Conference (ACC), 2010.
[18] H. Bi, "Routing diverse evacuees with the cognitive packet network
algorithm," Future Internet, vol. 6, no. 2, pp. 203 - 222, 2014.
[19] K. Ogata, "Introduction to control systems," in Modern Control
Engineering 5th Edition, Prentice Hall, 2010, pp. 1-12.
[20] B. T. Stewart, A. N. Venkat, J. B. Rawlings, S. J. Wright and G.
Pannocchia, "Cooperative distributed model predictive control," Systems
& Control Letters, vol. 59, no. 8, pp. 460 - 469, 2010.
[21] A. Filippoupolitis, G. Loukas, S. Timotheou, N. Dimakis and E.
Gelenbe, "Emergency response systems for disaster management in
buildings," in Proceedings of the NATO Symposium on C3I for Crisis,
Emergency and Consequence Management, Bucharest, Romania, 2009.
[22] D. Pinto and A. Cipriano, "Tsunami Early Warning System Architecture
based on automation technologies," in Information and Communication
Technologies for Disaster Management ICT-DM, 2014 1st International
Conference on, 2014.
[23] N. Adams, M. Field, E. Gelenbe, D. Hand, N. Jennings, D. Leslie , D.
Nicholson, S. Ramchurn and A. Rogers, "The ALADDIN project:
intelligent agents for disaster management," 2008 [24] B. Faulkner, "Towards a framework for tourism disaster management,"
Tourism Management, vol. 22, no. 2, pp. 135 - 147, 2001.
[25] A. Specht, "Natural disaster management," in Tourism in turbulent
times, Routledge, 2006, pp. 123 - 142.
[26] Y. Fujinawa, Y. Rokugo, Y. Noda, Y. Mizui, M. Kobayashi and E.
Mizutani, "Efforts of earthquake disaster mitigation using earthquake
early warning in Japan," in The 14th World Conference on Earthquake
Engineering, Beijing, China, 2008.
[27] F. Honma and F. Ichikawa, "Earthquake early warning disaster
mitigation system for protecting semiconductor plant in Japan," in The
14th World Conference on Earthquake Engineering, Beijing, China,
2008.
[28] X. Pan, C. Han, K. Dauber and L. Kincho, "Human and social behavior
in computational modeling and analysis of egress," Automation in
Construction, vol. 15, no. 4, pp. 448 - 461, 2006.
[29] H. Kopetz, Real-time systems: design principles for distributed
embedded applications, Springer, 2011.
[30] F. Rammig, M. Ditze, P. Janacik, T. Heimfarth, T. Kerstan, S. Oberthuer
and K. Stahl, "Basic concepts of real time operating systems," in
Hardware-Depend Software, Springer, 2009, pp. 15-45.
[31] J. E. Vargas, Políticas públicas para la reducción de la vulnerabilidad
frente a los desastres naturales y socio-naturales, Santiago de Chile,
Naciones Unidas, CEPAL, División de Medio Ambiente y
Asentamientos Humanos, 2002.
[32] D. Alexander, Natural disasters, Springer, 1993.
[33] J. R. Eiser, A. Bostrom, I. Burton, D. M. Johnston, J. McClure, D. Paton,
J. van der Pligt and M. P. White, "Risk interpretation and action: a
conceptual framework for responses to natural hazards," International
Journal of Disaster Risk Reduction, vol. 1, pp. 5 - 16, 2012.
[34] K. Tani, Y. Maeda and N. Ito, "A study of the evacuation behavior
simulation to investigate the effect of concessions and obstacles," in
Computational Intelligence Applications (IWCIA), IEEE Sixth
International Workshop on, 2013.
[35] D. Helbing, I. Farkas and T. Vicsek, "Simulating dynamical features of
escape panic," Nature, vol. 407, no. 6803, pp. 487 - 490, 2000.
[36] S. Elkosantini and D. Gien, "Human behavior and social network
simulation: fuzzy sets/logic and agent-based approach," in Proceedings
of the 2007 Spring Simulation Multiconference, 2007.
@article{"International Journal of Information, Control and Computer Sciences:69390", author = "C. Pacheco and A. Cipriano", title = "Design of Real Time Early Response Systems for Natural Disaster Management Based On Automation and Control Technologies", abstract = "A new concept of response system is proposed for
filling the gap that exists in reducing vulnerability during immediate
response to natural disasters. Real Time Early Response Systems
(RTERSs) incorporate real time information as feedback data for
closing control loop and for generating real time situation assessment.
A review of the state of the art on works that fit the concept of
RTERS is presented, and it is found that they are mainly focused on
manmade disasters. At the same time, in response phase of natural
disaster management many works are involved in creating early
warning systems, but just few efforts have been put on deciding what
to do once an alarm is activated. In this context a RTERS arises as a
useful tool for supporting people in their decision making process
during natural disasters after an event is detected, and also as an
innovative context for applying well-known automation technologies
and automatic control concepts and tools.
", keywords = "Disaster management, emergency response system,
natural disasters, real time.", volume = "9", number = "3", pages = "725-9", }
