An agent-based modeling and the simulator for evacuation from multistory buildings at the time of outbreak of an earthquake and the fire are presented. The basic theory is that individual agents move in each floor and stair, unless it is filled to capacity per unit area. The simulator can reflect the situation when some destruction occurred in a passage and the stairs in the middle of refuge, because the capacity can be changed dynamically every place. Each agent moves in principle based on local information around oneself. However, as for the cases that the inside of stairs has been clogged up, wide area information equivalent to the broadcast in the hall is conveyed to agents after pre-determined time. Comparative study with the real measurement and simulation was carried out about the refuge time of the fire drill that was performed in a university building of 12 stories.


Multi-Agent Systems Crowd Evacuation Behavioral Modeling 


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  1. 1.
    Zarboutis, N., Marmaras, N.: Design of formative evacuation plans using agent-based simulation. Safety Science 45(9), 920–940 (2007)CrossRefGoogle Scholar
  2. 2.
    Ren, C., Yang, C., Jin, S.: Agent-Based Modeling and Simulation on Emergency Evacuation. In: Zhou, J. (ed.) Complex 2009. LNICST, vol. 5, pp. 1451–1461. Springer, Heidelberg (2009)CrossRefGoogle Scholar
  3. 3.
    Shi, J., et al.: Agent-based evacuation model of large public buildings under fire conditions. Automation in Construction 18(3), 338–347 (2009)CrossRefGoogle Scholar
  4. 4.
    Hori, M., et al.: Study on developing simulation method for prediction of evacuation processes after earthquake. Sociotechnica. 3, 138–145 (2005)CrossRefGoogle Scholar
  5. 5.
    Sharma, S.: AvatarSim: A multi-agent system for emergency evacuation simulation. Journal of Computational Methods in Science and Engineering 9(suppl. 1), 13–22 (2009)Google Scholar
  6. 6.
    Pan, X., et al.: A multi-agent based framework for the simulation of human and social behaviors during emergency evacuations. Computer Science 22(2), 113–132 (2007)Google Scholar
  7. 7.
    Chen, X., Zhan, F.B.: Agent-based modeling and simulation of urban evacuation: relative effectiveness of simultaneous and staged evacuation strategies. Journal of the Operational Research Society 59(1), 25–33 (2008)zbMATHCrossRefGoogle Scholar
  8. 8.
    Pelechano, N., Malkawi, A.: Evacuation simulation models: Challenges in modeling high rise building evacuation with cellular automata approaches. Automation in Construction 17(4), 377–385 (2008)CrossRefGoogle Scholar
  9. 9.
    Zheng, X., et al.: Modeling crowd evacuation of a building based on seven methodological approaches. Building and Environment 44(3), 437–445 (2009)CrossRefGoogle Scholar
  10. 10.
    Kuligowski, E.D., Peacock, R.D.: A Review of Building Evacuation Models, National Institute of Standards and Technology Technical Note 1471, 156 pages (2005)Google Scholar
  11. 11.
    Ren, C., Yang, C., Jin, S.: Agent-based modeling and simulation on emergency evacuation. In: Zhou, J. (ed.) Complex 2009. LNICST, vol. 5, pp. 1451–1461. Springer, Heidelberg (2009)CrossRefGoogle Scholar
  12. 12.
    Yamamoto, F.: Modeling and Simulation on Crowd Evacuation of a Building with Agent-Based Approaches. In: Proc. IADIS International Conference on Internet Technologies & Society, pp. 313–316 (2012)Google Scholar

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© Springer-Verlag Berlin Heidelberg 2013

Authors and Affiliations

  • Fujio Yamamoto
    • 1
  1. 1.Department of Information and Computer SciencesKanagawa Institute of TechnologyAtsugi-shiJapan

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