Abstract
One of the most promising fields for Ambient Intelligence (AmI) is the implementation of intelligent emergency plans. By using AmI, it is possible to improve the collaboration and coordination strategy of response efforts in emergency situations. Despite AmI systems are generally evaluated by using Living labs, it is desirable to use simulations in the emergency case. Simulations have allowed emergency committees and emergency experts to improve the performance and efficiency of many emergency plans while decreasing the limitations of regular drills and AmI restrictions. However, despite their wide range of benefits, simulations are currently facing many problems. Among those, simulations are performed in an ad-hoc model and are usually “closed”. To improve this situation, this paper proposes using semantic web technologies as a powerful tool to reuse, extend, and combine different simulation components.
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References
Serrano, E., Poveda, G., Garijo, M.: Towards a holistic framework for the evaluation of emergency plans in indoor environments. Sensors 14(3), 4513–4535 (2014)
Alcarria, R., Robles, T., Morales, A., Diego, Aguilera, U.: Enabling flexible and continuous capability invocation in mobile prosumer environments. Sensors 12(7), 8930–8954 (2012)
Eriksson, M.: State-of-the-art and good practice in the field of living labs (2006)
Morales, A., Alcarria, R., Martin, D., Robles, T.: Enhancing evacuation plans with a situation awareness system based on end-user knowledge provision. Sensors 14(6), 11153–11178 (2014)
ABSS frameworks list, http://en.wikipedia.org/wiki/ABM_Software_Comparison
Lozano, M., Morillo, P., Lewis, D., Reiners, D., Cruz-Neira, C.: A distributed framework for scalable large-scale crowd simulation. In: Shumaker, R. (ed.) Virtual Reality, HCII 2007. LNCS, vol. 4563, pp. 111–121. Springer, Heidelberg (2007)
Jain, S., Mclean, C.R.: An architecture for integrated modeling and simulation for emergency response
Zoumpoulaki, A., Avradinis, N., Vosinakis, S.: A multi-agent simulation framework for emergency evacuations incorporating personality and emotions. In: Konstantopoulos, S., Perantonis, S., Karkaletsis, V., Spyropoulos, C.D., Vouros, G. (eds.) SETN 2010. LNCS (LNAI), vol. 6040, pp. 423–428. Springer, Heidelberg (2010)
Yotsukura, S., Takahashi, T.: Framework of an emergency management system using different rescue simulators. Advanced Robotics 23(9), 1233–1246 (2009)
Araujo, R., Rocha, R., Campos, M., Boukerche, A.: Creating emergency management training simulations through ontologies integration. In: 11th IEEE International Conference on Computational Science and Engineering Workshops, CSEWORKSHOPS 2008, pp. 373–378 (July 2008)
Pan, X., Han, C., Law, K.H., Claude Latombe, J.: A computational framework to simulate human and social behaviors for egress analysis
Garijo, M., Poveda, G., Serrano, E.: EscapeSim website, https://github.com/gsi-upm/EscapeSim
Garijo, M., Poveda, G., Serrano, E.: EinSim website, http://minsky.gsi.dit.upm.es/~gpoveda/einsim/
Alcarria, R., Robles, T., Morales, A., Cedeno, E.: Resolving coordination challenges in distributed mobile service executions. International Journal of Web and Grid Services 10(2), 168–191 (2014)
Chung, J., Gonzalez, G., Armuelles, I., Robles, T., Alcarria, R., Morales, A.: Experiences and challenges in deploying OpenFlow over real wireless mesh networks. IEEE Latin America Transactions (Revista IEEE America Latina) 11(3), 955–961 (2013)
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Poveda, G., Serrano, E., Garijo, M. (2014). Creating and Validating Emergency Management Services by Social Simulation and Semantic Web Technologies. In: Hervás, R., Lee, S., Nugent, C., Bravo, J. (eds) Ubiquitous Computing and Ambient Intelligence. Personalisation and User Adapted Services. UCAmI 2014. Lecture Notes in Computer Science, vol 8867. Springer, Cham. https://doi.org/10.1007/978-3-319-13102-3_74
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DOI: https://doi.org/10.1007/978-3-319-13102-3_74
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