Skip to main content

Agent-Based Modeling and Simulation on Emergency Evacuation

  • Conference paper
Book cover Complex Sciences (Complex 2009)

Abstract

Crowd stampedes and evacuation induced by panic caused by emergences often lead to fatalities as people are crushed, injured, trampled or even dead. Such phenomena may be triggered in life-threatening situations such as fires, explosions in crowded buildings. Emergency evacuation simulation has recently attracted the interest of a rapidly increasing number of scientists. This paper presents an Agent-Based Modeling and Simulation using Repast software to construct crowd evacuations for emergency response from an area under a fire. Various types of agents and different attributes of agents are designed in contrast to traditional modeling. The attributes that govern the characteristics of the people are studied and tested by iterative simulations. Simulations are also conducted to demonstrate the effect of various parameters of agents. Some interesting results were observed such as "faster is slower" and the ignorance of available exits. At last, simulation results suggest practical ways of minimizing the harmful consequences of such events and the existence of an optimal escape strategy.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 84.99
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 109.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. Bonabeau, E.: Agent-based modeling: Methods and techniques for simulating human systems. Proceedings of the National Academy of Sciences of the United States of America 99, 7280–7287 (2002)

    Article  Google Scholar 

  2. 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)

    Article  Google Scholar 

  3. Glen, I.F., Galea, E.R., Kiefer Kevin, C.: Ship evacuation simulation: Challenges and solutions, Discussion. Society of Naval Architects and Marine Engineers 109, 121–139 (2001)

    Google Scholar 

  4. Neumann, C., Neunteufel, R.J.: Evacuation Simulation at Linz Central Station–Usefulness during design, approval and start-up. Pedestrian and Evacuation Dynamics, pp. 333–339 (2005)

    Google Scholar 

  5. Park, H., Kim, H., Whang, H., Park, J., Lee, D.: Development of an Agent-based Behavior Module for Evacuation Models — Focused on the Behaviors in the Dark. Pedestrian and Evacuation Dynamics, pp. 347–356 (2005)

    Google Scholar 

  6. Christensen, K., Sasaki, Y.: Agent-Based Emergency Evacuation Simulation with Individuals with Disabilities in the Population. Journal of Artificial Societies and Social Simulation 11(3), 9–21 (2008)

    Google Scholar 

  7. Santos, G., Aguirre, B.E.: A Critical Review of Emergency Evacuation Simulation Models. In: Workshop on Building Occupant Movement during Fire Emergencies, pp. 25–50 (2004)

    Google Scholar 

  8. Bowen Loftin, R., Petty, M.D., Gaskins III, R.C., McKenzie, F.D.: Modeling Crowd Behavior for Military Simulation Applications. Organizational Simulation, 124–131 (2005)

    Google Scholar 

  9. Muhdi, R.A.: Evacuation Modeling: Development, Characteristic, and Limitations. In: Proceedings of the IEEE CEC, Vancouver, BC, Canada, pp. 87–92 (2006)

    Google Scholar 

  10. Fromm, J.: The Emergence of Complexity. Kassel university press, GmbH, Kassel (2004)

    Google Scholar 

  11. Wolfram, S.: A new kind of science. Wolfram Media, Inc. (2002)

    Google Scholar 

  12. Wooldridge, M.: An introduction to multiagent systems. John Wiley & Sons, Inc., Chichester (2002)

    Google Scholar 

  13. Weiss, G.: Multiagent systems: a modern approach to distributed artificial intelligence. MIT Press, Cambridge (1999)

    Google Scholar 

  14. Flake, G.W.: The computational beauty of nature. MIT Press, Cambridge (1998)

    MATH  Google Scholar 

  15. Ji, Q., Gao, C.: Simulating Crowd Evacuation with a Leader-Follower Model. International Journal of Computer Sciences and Engineering Systems 1(4), 27–30 (2007)

    MATH  Google Scholar 

  16. Murakami, Y., Minami, K., Kawasoe, T., Ishida, T.: Multi-Agent Simulation for Crisis Management. In: Proceedings of the IEEE Workshop on Knowledge Media Networking, Washington DC, USA, pp. 135–139 (2002)

    Google Scholar 

  17. Helbing, D.: Agent-Based Simulation of Traffic Jams, Crowds, and Supply Networks. In: Proceeding of the IMA ‘Hot Topics’ Workshop, IMA, Minneapolis, MN, pp. 213–223 (2003)

    Google Scholar 

  18. Kota, R., Bansal, V., Karlapalem, K.: System Issues in Crowd Simulation using Massively Multi-Agent Systems. In: Workshop on Massively Multi Agent Systems, pp. 251–257 (2006)

    Google Scholar 

  19. Lightfoot, T.J., Milne, G.J.: Modeling Emergent Crowd Behavior. In: Proc. of the 1st Australian Conf. on Artificial Life, Canberra (2003)

    Google Scholar 

  20. Helbing, D., Farkas, I.J., Molnar, P., Vicsek, T.: Simulation of pedestrian crowds in normal and evacuation situations. In: Pedestrian and Evacuation Dynamics, pp. 21–58. Springer, Berlin (2001)

    Google Scholar 

  21. Chamlet, L.G., Francis, Saunders: Network Models for Building evacuation. Management Science 28(1), 86–105 (1982)

    Article  Google Scholar 

  22. Choi, W., Hamacher, Tufecki: Modeling of Building Evacuation Problems by network flows with side constraints. European Journal of Operational Research 35, 98–110 (1988)

    Article  MathSciNet  MATH  Google Scholar 

  23. Choi, W., Francis, Hamacher, Tufecki: Network Models of Building Evacuation Problems with Flow Dependent Exit Capacities. Operational Research, 1047–1059 (1984)

    Google Scholar 

  24. Lovas, G.G.: On the Importance of Building Evacuation System Components. IEEE Transactions on Engineering Management 45(2), 181–191 (1998)

    Article  Google Scholar 

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

    Article  Google Scholar 

  26. Macal, C.M., North, M.J.: Agent-Based Modeling and Simulation: Desktop ABMS. In: Proceedings of the 2007 Winter Simulation Conference, USA, pp. 95–106 (2007)

    Google Scholar 

  27. Sugiman, T., Misumi, J.: Development of a New Evacuation Method for Emergencies: Control of Collective Behavior by Emergent Small Groups. Journal of Applied Psychology 73(1), 3–10 (1988)

    Article  Google Scholar 

  28. Shendarkar, A., Vasudevan, K.: Crowd Simulation for emergency Response using BDI Agent Based on Virtual Reality. In: Proceedings of the 2006 Winter Simulation Conference, Monterey, California, USA, pp. 545–553 (2006)

    Google Scholar 

  29. Peer-Olaf, S., Aickelin, U., Celia, H., Clegg, C.: A Multi-Agent Simulation of Retail Management Practices. In: SCSC 2007, pp. 959–966 (2007)

    Google Scholar 

  30. Simon, H.A.: The Sciences of the Artificial, 3rd edn. MIT Press, Cambridge (1996)

    Google Scholar 

  31. Borshchev, A., Filippov, A.: From System Dynamics and Discrete Event to Practical Agent Based Modeling: Reasons, Techniques, Tools. In: Proceedings of the 22nd International Conference of the System Dynamics Society, Oxford, England, pp. 25–29 (July 2004)

    Google Scholar 

  32. Epstein, J.M., Axtell, R.: Growing Artificial Societies: Social Science from the Bottom Up. MIT Press, Cambridge (1996)

    Google Scholar 

  33. http://repast.sourceforge.net/

  34. http://groovy.codehaus.org/

Download references

Author information

Authors and Affiliations

Authors

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2009 ICST Institute for Computer Science, Social Informatics and Telecommunications Engineering

About this paper

Cite this paper

Ren, C., Yang, C., Jin, S. (2009). Agent-Based Modeling and Simulation on Emergency Evacuation. In: Zhou, J. (eds) Complex Sciences. Complex 2009. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, vol 5. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-02469-6_25

Download citation

  • DOI: https://doi.org/10.1007/978-3-642-02469-6_25

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-02468-9

  • Online ISBN: 978-3-642-02469-6

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics