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An Agent-Based Simulation Model for Emergency Egress

  • Álvaro Carrera
  • Eduardo Merino
  • Pablo Aznar
  • Guillermo Fernández
  • Carlos A. IglesiasEmail author
Conference paper
Part of the Advances in Intelligent Systems and Computing book series (AISC, volume 801)

Abstract

Unfortunately, news regarding tragedies involving crowd evacuations are becoming more and more common. Understanding disasters and crowd emergency evacuation behaviour is essential to define effective evacuation protocols. This paper proposes an agent-based model of egress behaviour consisting of three complementary models: (i) model of people moving in a building in normal circumstances, (ii) policies of egress evacuation, and (iii) social models for integrating models (e.g. affiliation) that explain the social behaviour and help in mass evacuations. The proposed egress model has been evaluated in a university building and the results show how these models can help to better understand egress behaviour and apply this knowledge for improving the design and execution evacuation plans.

Keywords

Agent-based social simulation Evacuation protocol Emergency egress Affiliation model 

Notes

Acknowledgements

This work is supported by the Spanish Ministry of Economy and Competitiveness under the R&D projects SEMOLA, EmoSpaces (RTC-2016-5053-7) and ITEA3 Citisim (ITEA3 15018, funded by CDTI), by the Regional Government of Madrid through the project MOSI-AGIL-CM (grant P2013/ICE-3019, co-funded by EU Structural Funds FSE and FEDER); and by the Ministry of Education, Culture and Sport through the mobility research stay grant PRX16/00515.

References

  1. 1.
    Challenger, W., Clegg, W.C., Robinson, A.M.: Understanding crowd behaviours: guidance and lessons identified. UK Cabinet Office, pp. 11–13 (2009)Google Scholar
  2. 2.
    Christensen, K., Sasaki, Y.: Agent-based emergency evacuation simulation with individuals with disabilities in the population. J. Artif. Soc. Soc. Simul. 11(3), 9 (2008)Google Scholar
  3. 3.
    Collier, N.: Repast: an extensible framework for agent simulation. Univ. Chicago’s Soc. Sci. Res. 36, 2003 (2003)Google Scholar
  4. 4.
    Drury, J., Cocking, C., Reicher, S.: Everyone for themselves? A comparative study of crowd solidarity among emergency survivors. Brit. J. Soc. Psychol. 48(3), 487–506 (2009)CrossRefGoogle Scholar
  5. 5.
    Fromm, J.: The Emergence of Complexity. Kassel University Press, Kassel (2004)Google Scholar
  6. 6.
    Guy, S.J., Kim, S., Lin, M.C., Manocha, D.: Simulating heterogeneous crowd behaviors using personality trait theory. In: Proceedings of the 2011 ACM SIGGRAPH/Eurographics Symposium on Computer Animation, pp. 43–52. ACM (2011)Google Scholar
  7. 7.
    Gwynne, S., Galea, E.R., Owen, M., Lawrence, P.J., Filippidis, L.: A review of the methodologies used in the computer simulation of evacuation from the built environment. Build. Environ. 34(6), 741–749 (1999)CrossRefGoogle Scholar
  8. 8.
    Liu, Y., Sun, C., Wang, X., Malkawi, A.: The influence of environmental performance on way-finding behavior in evacuation simulation. In: Proceedings of the BS2013: 13th Conference of International Building Performance Simulation Association, Le Bourget Du Lac, France, pp. 25–30 (2013)Google Scholar
  9. 9.
    Masad, D., Kazil, J.: Mesa: an agent-based modeling framework. In: 14th PYTHON in Science Conference, pp. 53–60 (2015)Google Scholar
  10. 10.
    Sánchez, J.M., Carrera, Á., Iglesias, C.Á., Serrano, E.: A participatory agent-based simulation for indoor evacuation supported by google glass. Sensors 16(9), 1360 (2016)CrossRefGoogle Scholar
  11. 11.
    Sánchez, J.M., Iglesias, C.A., Sánchez-Rada, J.F.: Soil: an agent-based social simulator in python for modelling and simulation of social networks. In: LNAI, vol. 10349, pp. 234–245. Springer, June 2017Google Scholar
  12. 12.
    Tisue, S., Wilensky, U.: Netlogo: a simple environment for modeling complexity. In: International Conference on Complex Systems, Boston, MA, vol. 21, pp. 16–21 (2004)Google Scholar
  13. 13.
    Vega, M.F.: Ntp 390: La conducta humana ante situaciones de emergencia: análisis de proceso en la conducta individual. Instituto Nacional de Seguridad e Higiene en el, Trabajo, pp. 1–11 (1993)Google Scholar
  14. 14.
    Wolfram, S.: A New Kind of Science, vol. 5. Wolfram Media, Champaign (2002)zbMATHGoogle Scholar

Copyright information

© Springer Nature Switzerland AG 2019

Authors and Affiliations

  • Álvaro Carrera
    • 1
  • Eduardo Merino
    • 1
  • Pablo Aznar
    • 1
  • Guillermo Fernández
    • 1
  • Carlos A. Iglesias
    • 1
    Email author
  1. 1.Intelligent Systems GroupUniversidad Politécnica de MadridMadridSpain

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