A Behavior Model Based On Information Transmission for Crowd Simulation

  • Ting Dong
  • Yan Liu
  • Lin Bian
Part of the Lecture Notes in Computer Science book series (LNCS, volume 6758)


In this paper, a crowd behavior model based on information transmission processes is presented. In crowds, human behaviors are easily influenced by information. The information is transferred to them by other people and surrounding environment. When emergencies occur in crowds, people get danger information when they see an emergency occurs or other people tell them. People in the crowd are intelligent agents. They get information from their surroundings, make decisions according to certain events and take some actions according to the decisions. The contribution of this paper would be that information transmission processes is used and taken into account by the agents. This behavior model can simulate how information about danger is transferred in crowd in emergency situations. By combining the information transmission processes with people’s personalities, it can achieve good crowd evacuation simulation.


behavior model crowd simulation information transmission intelligent agent 


Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.


  1. 1.
    Reynolds, C.: Flocks, Herds, and Schools: A Distributed Behavior Model. In: Proc. ACM Siggraph, pp. 25–34. ACM Press, New York (1987)Google Scholar
  2. 2.
    Helbing, D., Farkas, I., Vicsek, T.: Simulating Dynamical Features of Escape Panic. Nature 407, 487–490 (2006)CrossRefGoogle Scholar
  3. 3.
    Chenney, S.: Flow Tiles. In: Eurographics/ACM Siggraph Proc. Symp. Computer Animation, pp. 233–242. ACM Press, New York (2004)Google Scholar
  4. 4.
    Musse, S.R., Thalmann, D.: Hierarchical model for real time simulation of virtual human crowds. IEEE Transaction on Visualization and Computer Graphics, 152–164 (2001)Google Scholar
  5. 5.
    Cony, C., et al.: A perceptive model for virtual agents in crowd. In: 25th Computer Graphics International Conference, pp. 141–149 (2007)Google Scholar
  6. 6.
    Pelechano, N., Badler, N.: Modeling crowd and trained leader behavior during building evacuation. IEEE Computer Graphics and Applications 26(6), 80–86 (2006)CrossRefGoogle Scholar
  7. 7.
    Pelechano, N., et al.: Crowd simulation incorporating agent psychological models, roles and communication. In: First International Workshop on Crowd Simulation, pp. 21–30 (2005)Google Scholar
  8. 8.
    Braun, A., et al.: Simulating virtual crowds in emergency situations. Virtual reality software and technology, 244–252 (2005)Google Scholar
  9. 9.
    Pelechano Gomez, N.: Modeling realistic high density autonomous agent crowd movement: social forces, communication, roles and psychological influences. PhD thesis, Philadelphia, PA, USA. Adviser-Badler, Norman I (2006)Google Scholar
  10. 10.
    Treuille, A., Cooper, S., PopoviC, Z.: Continuum crowds. In: SIGGRAPH 2006: ACM Siggraph 2006 Papers, pp. 1160–1168. ACM Press, New York (2006)Google Scholar
  11. 11.
    Monzani, J.S., Thalmann, D.: A sound propagation model for interagents communication. In: Heudin, J.-C. (ed.) VW 2000. LNCS (LNAI), vol. 1834, pp. 135–146. Springer, Heidelberg (2000)CrossRefGoogle Scholar
  12. 12.
    Funge, J., Tu, X., Terzopoulos, D.: Cognitive Modeling Knowledge, Reasoning and Planning for Intelligent Character. In: Proc. ACM Siggraph, pp. 29–38. ACM Press, New York (1999)Google Scholar
  13. 13.
    Musse, S.R., Thalmann, D.: A model of human crowd behavior. In: Computer Animation and Simulation 1997, pp. 39–51. Springer, Heidelberg (1997)Google Scholar
  14. 14.
    Mamlouk, A.M., Chee-Ruiter, C., Hofmann, U.G., Bower, J.M.: Quantifying olfactory perception: mapping olfactory perception space by using multidimensional scaling and self-organizing maps. Neurocomputing 54-54, 591–597 (2003)CrossRefGoogle Scholar
  15. 15.
    Conde, T., Thalmann, D.: An artificial life environment for autonomous virtual agents with multi-sensorial and multi-perceptive features. Journal of Computer Animation and Virtual Worlds 15(3), 311–318 (2004)CrossRefGoogle Scholar
  16. 16.
    Hou, Y.: Social Psychology. Peking University Press (2002)Google Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 2011

Authors and Affiliations

  • Ting Dong
    • 1
  • Yan Liu
    • 1
  • Lin Bian
    • 1
  1. 1.School of Computer Science and TechnologyTianjin UniversityTianjinChina

Personalised recommendations