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Emergency Personnel Evacuation Model and Its Application Based on Cellular Automaton

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Software Engineering and Knowledge Engineering: Theory and Practice

Part of the book series: Advances in Intelligent and Soft Computing ((AINSC,volume 115))

Abstract

In this article, cellular automaton model will be extended and applied to the evacuation oflarge public venues. First, we analyze the affecting factors in macro approach, such as physical distribution, psychological preferences, bypass behaviors and so on. Then, we apply the model in the process of evacuation in China Pavilion of World Expo after we have established an extended cellular automata model and proved its reliability. Simulation results show that people who do not consider bypass apparently stand in queues during evacuation, and the herd mentality, in general, is to hinder evacuation process to a certain extent, and it is worth noting that a certain percentage of the herd mentality could shorten the evacuation time, and additionally, family behaviors will extend the evacuation time. Finally, according to experimental results, we put forward rational proposals for the personnel evacuation in large public venues and optimize the model.

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References

  1. Helbing, D., Farkas, I., Vicsek, T.: Simulating dynamical features of escape panic. Nature 407, 487–490 (2000)

    Article  Google Scholar 

  2. Wolfman, D.: Cellular automata for traffic simulations. Physical A 263(1-4), 438–451 (1999)

    Article  Google Scholar 

  3. Lu, W., Xiong, H., Li, X.: Evacuation Prediction in the Underground Shopping Street. Fire Safety Science 8(3), 72–79 (1999)

    Google Scholar 

  4. Liao, Y.-f., Ma, X.-q.: Simulation of Pedestrian Dynamics under Subway Fire Using Extended Cellular Automaton. Journal of System Simulation 20(24) (2008)

    Google Scholar 

  5. Jin, X.-g.: The simulation of Cellular Automata based on Matlab. Computer Simulation 19(4), 27–30 (2002)

    Google Scholar 

  6. Zhang, Z.-g., Li, Q.: Study on people’s evacuation with cellular automata. Computer Engineering and Design 30(8), 1991–1993 (2009)

    Google Scholar 

  7. Sime, J.D.: Crowd Psychology and engineering. Safety Science 21(1), 1–14 (1995)

    Article  MathSciNet  Google Scholar 

  8. Helbing, D., Keltsch, J., Molnar, P.: Modelling the evolution of human trail systems. Nature 388, 47–50 (1997)

    Article  Google Scholar 

  9. Helbing, D., Molnar, P.: Social force model for pedestrian dynamics. Phys. Rev. E 51, 4282–4286 (1995)

    Article  Google Scholar 

  10. Muramatsu, M., Nagatani, T.: Jamming transition in two-dimensional pedestrian traffic. Physica A 275, 281–291 (2000)

    Article  Google Scholar 

  11. Tajima, Y., Nagatani, T.: Scaling behavior of crowd flow outside a hall. Physica A 292, 545–554 (2001)

    Article  MathSciNet  MATH  Google Scholar 

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Correspondence to Demin Wu .

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© 2012 Springer-Verlag GmbH Berlin Heidelberg

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Wu, D., Dong, W., Wang, J. (2012). Emergency Personnel Evacuation Model and Its Application Based on Cellular Automaton. In: Wu, Y. (eds) Software Engineering and Knowledge Engineering: Theory and Practice. Advances in Intelligent and Soft Computing, vol 115. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-25349-2_17

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  • DOI: https://doi.org/10.1007/978-3-642-25349-2_17

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-25348-5

  • Online ISBN: 978-3-642-25349-2

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