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A Hybrid Agent Simulation System of Rescue Simulation and USARSim Simulations from Going to Fire-Escape Doors to Evacuation to Shelters

  • Masaru Okaya
  • Shigeru Yotsukura
  • Tomoichi Takahashi
Conference paper
  • 1.7k Downloads
Part of the Lecture Notes in Computer Science book series (LNCS, volume 5949)

Abstract

Disaster & rescue simulations handle complex social issues, the macro level modeling of which is difficult. Agent-based social simulation provides a platform to simulate such social issues. It is ideal that the simulations cover various evacuation patterns and the results are used to make effective plans against disasters. This requires that the behaviors of a numbers of heterogeneous agents are simulated at urban size areas in hostile environments. Representing all buildings of the area by 3D model requires a large amount of computer resources and computing the behaviors of a number of agents takes a lot of computation time. These make it difficult to simulate rescue behaviors at disasters in real scale.

We propose a hybrid agent simulation system that switches systems that is suitable for situations during simulations. A hybrid system of two simulations with different time and space resolution makes it possible to simulate urban size human behaviors and indoor movements with less computational resources than doing by one system. This paper presents protocols that connect two systems that are used in RoboCup Rescue Simulation League, Rescue Agent Simulation and USARSim. The prototype system provides a simulation of people’s evacuation from going to fire-escape doors to moving to shelters.

Keywords

Rescue Operation Rescue Team Agent Base System Teacher Agent Entrance Node 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

References

  1. 1.
    Van de Walle, B., Turoff, M. (eds.): Emergency response information systems: Emerging trends and technologies. Communications of the ACM 50(3), 28–65 (2007)Google Scholar
  2. 2.
    Fujimoto, R.M.: Parallel and Distributed Simulation Systems. John Wiley & Sons, Inc., Chichester (2000)Google Scholar
  3. 3.
    Kuwata, Y., Takahashi, T., Ito, N., Takeuchi, I.: Design of human-in-the-loop agent simulation for disaster simulation systems. In: Proc. SRMED 2006 (Third International Workshop on Synthetic Simulation and Robotics to Mitigate Earthquake Disaster), pp. 9–14 (2006)Google Scholar
  4. 4.
    Mehrotra, S., Znatri, T., Thompson, W.(eds.): Crisis management. IEEE Internet Computing 12(1), 14–54 (2008)CrossRefGoogle Scholar
  5. 5.
  6. 6.
    Wang, J., Balakirsky, S., Carpin, S., Lewis, M., Scrapper, C.: Bridging the gap between simulation and reality in urban search and rescue. In: Lakemeyer, G., Sklar, E., Sorrenti, D.G., Takahashi, T. (eds.) RoboCup 2006: Robot Soccer World Cup X. LNCS (LNAI), vol. 4434, pp. 1–12. Springer, Heidelberg (2007)Google Scholar
  7. 7.
    Schurr, N., Marecki, J., Kasinadhuni, N., Tambe, M., Lewis, J.P., Scerri, P.: The defacto system for human omnipresence to coordinate agent teams: The future of disaster response. In: AAMAS 2005, pp. 1229–1230 (2005)Google Scholar
  8. 8.
    Takeuchi, I., Kakumoto, S., Goto, Y.: Towards an integrated earthquake disaster simulation system. In: First International Workshop on Synthetic Simulation and Robotics to Mitigate Earthquake Disaster (2003), http://www.dis.uniroma1.it/~rescue/events/padova03/papers/index.html

Copyright information

© Springer-Verlag Berlin Heidelberg 2010

Authors and Affiliations

  • Masaru Okaya
    • 1
  • Shigeru Yotsukura
    • 1
  • Tomoichi Takahashi
    • 1
  1. 1.Meijo University, TenpakuNagoyaJapan

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