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Effect of Guidance Information and Human Relations Among Agents on Crowd Evacuation Behavior

  • Masaru Okaya
  • Tomochi Takahashi
Conference paper

Abstract

Evacuating people during emergency situations or natural disasters is a complex task. In simulation systems, evacuees have been treated equally, or at least physical difference such as the evacuees’ ages and genders are considered as parameters of simulations. We believe the content of guidance information influences their mental states, as well as helps to alleviate anxiety about their own and their family’s safety, and leads to evacuation behaviors based on their situations. The effect of guidance information as it relates to family relationships among agents is simulated with our ABS evacuation simulation system. Three evacuation scenarios involving different types of disasters are simulated and the results are discussed.

Keywords

Simulation Phased evacuation Mental state Evacuation guidance 

Notes

Acknowledgements

Our platform has been developed based on RoboCup Rescue Simulation System. We greatly appreciate the contribution of the RoboCup Rescue Community. This research was supported by KAKENHI 24500186 and fund from Meijo University.

References

  1. 1.
    E. D. Kuligowsk, R. D. Peacock: Review of Building Evacuation Models. NIST Technical Notes 1471; July 2005Google Scholar
  2. 2.
    J.D.Averill: NISTncstar 1-7: Occupant behavior, egress, and emergency communication, Sep. 2005.Google Scholar
  3. 3.
    D.Helbing, et.al: Simulating dynamical features of escape panic, NATURE,487–490, Sep. 2000.Google Scholar
  4. 4.
    Edwin R. Galea, et.al. The uk wtc9/11 evacuation study: An overview of the methodologies employed and some preliminary analysis. In Pedestrian and Evacuation Dynamics, 2008, pages 3–24. Springer, 2008.Google Scholar
  5. 5.
    the Great West Japan Earthquake Cabinet Office, Government of Japan: Prevention Disaster Conference and Tsunami. Report on evacuation behavior of people (in Japanese). http://www.bousai.go.jp/jishin/chubou/higashinihon/7/1.pdf, date: 9. Feb. 2012.
  6. 6.
    S. Bandini, S. Manzoni, G. Vizzari: Crowd Behavior Modeling: From Cellar Automata to Multo-Agent Systems, in Multi-Agent Systems, Simulation and Application (ed. A. M. Uhrmacher & D.Weyns), pp.301–32, CRC Press, 2009Google Scholar
  7. 7.
    N. Pelechano, A. Malkawi: Comparison of crowd simulation for building evacuation and an alternative approach, in Proc..The 10th International Building Performance Simulation, pp.1514–1521, 2007Google Scholar
  8. 8.
    M. Okaya, T. Takahashi: BDI Agent model Based Evacuation Simulation (Demonstration), The Autonomous Agents and MultiAgent Systems (AAMAS) 2011, P. 1297–1298, 2011, MayGoogle Scholar

Copyright information

© Springer International Publishing Switzerland 2014

Authors and Affiliations

  1. 1.Department of Information EngineeringMeijo UniversityNagoyaJapan

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