Skip to main content

Accounting for Patterns of Collective Behavior in Crowd Locomotor Dynamics for Realistic Simulations

  • Conference paper

Part of the Lecture Notes in Computer Science book series (TEDUTAIN,volume 7145)

Abstract

Do people in a crowd behave like a set of isolated individuals or like a cohesive group? Studies of crowd modeling usually consider pedestrian behavior either from the point of view of an isolated individual or from that of large swarms. We introduce here a study of small crowds walking towards a common goal and propose to make the link between individual behavior and crowd dynamics. Data show that participants, even though not instructed to behave collectively, do form a cohesive group and do not merely treat one another as obstacles. We present qualitative and quantitative measurements of this collective behavior, and propose a first set of patterns characterizing such behavior. This work is part of a wider effort to test crowd models against observed data.

Keywords

  • locomotion dynamics
  • collective behavior
  • crowd simulation

This is a preview of subscription content, access via your institution.

Buying options

Chapter
USD   29.95
Price excludes VAT (Canada)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD   39.99
Price excludes VAT (Canada)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD   54.99
Price excludes VAT (Canada)
  • 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

Learn about institutional subscriptions

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. Brooks, R.A.: Intelligence without representation. Artificial Intelligence 47, 139–159 (1991)

    CrossRef  Google Scholar 

  2. Costa, M.: Interpersonal distances in group walking. J. Nonverbal Behav. 34, 15–26 (2010)

    CrossRef  Google Scholar 

  3. Duchon, A.P., Warren, W.H.: A visual equalization strategy for locomotor control: of honeybees, robots, and humans. Psychological Science 21, 183–202 (2002)

    Google Scholar 

  4. Fajen, B.R., Warren, W.H.: Behavioral dynamics of steering, obstacle avoidance, and route selection. Journal of Experimental Psychology: Human Perception and Performance 29, 343–362 (2003)

    CrossRef  Google Scholar 

  5. Fajen, B.R., Warren, W.H.: Behavioral dynamics of intercepting a moving target. Exp. Brain Res. 180, 303–319 (2007)

    CrossRef  Google Scholar 

  6. Gibson, J.J.: Visually controlled locomotion and visual orientation in animals. Ecological Psychology 10, 161–176 (1998); (Reprinted from British Journal of Psychology 49, 182–194 (1958))

    Google Scholar 

  7. Grimm, V., Revilla, E., Berger, U., Jeltsch, F., Mooij, W.M., Railsback, S.F., Thulke, H.-H., Weiner, J., Wiegand, T., DeAngelis, D.L.: Pattern-oriented modeling of agent-based complex systems: lessons from ecology. Science 310, 987–991 (2005)

    CrossRef  Google Scholar 

  8. Heigeas, L., Luciani, A., Thollot, J., Castagné, N.: A physically-based particle model of emergent crowd behaviors. In: Graphicon (2003), http://artis.imag.fr/Publications/2003/HLTC03

  9. Helbing, D.: A mathematical model for the behavior of pedestrians. Behavioral Science 36, 298–310 (1991)

    CrossRef  Google Scholar 

  10. Helbing, D.: Modelling the evolution of human trail systems. Nature 388, 47–50 (1997)

    CrossRef  Google Scholar 

  11. Helbing, D., Molnár, P.: Social force model for pedestrian dynamics. Physical Review E 51, 4282–4286 (1995)

    CrossRef  Google Scholar 

  12. Lakoba, T.I., Kaup, D.J., Finkelstein, N.M.: Modifications of the Helbing-Molnár-Farkas-Vicsek social force model for pedestrian evolution. Simulation 81, 339–352 (2005)

    CrossRef  Google Scholar 

  13. Lee, K.H., Choi, M.G., Hong, Q., Lee, J.: Group behavior from video: a data-driven approach to crowd simulation. In: ACM SIGGRAPH/Eurographics Symposium on Computer Animation (2007), http://portal.acm.org/citation.cfm?id=1272706

  14. Moussaid, M., Helbing, D., Garnier, S., Johansson, A., Combe, M., Theraulaz, G.: Experimental study of the behavioural mechanisms underlying self-organization in human crowds. Proceedings of the Royal Society B (2009)

    Google Scholar 

  15. Moussaïd, M., Perozo, N., Garnier, S., Helbing, D., Theraulaz, G.: The walking behaviour of pedestrian social groups and its impact on crowd dynamics. PloS ONE 5(4), e10047 (2010)

    CrossRef  Google Scholar 

  16. Musse, S.R., Thalmann, D.: Hierarchical model for real time simulation of virtual human crowds. IEEE Transactions on Visualization and Computer Graphics 7, 152–164 (2001)

    CrossRef  Google Scholar 

  17. Paris, S., Pettré, J., Donikian, S.: Pedestrian reactive navigation for crowd simulation: a predictive approach. EUROGRAPHICS, Computer Graphics Forum 26, 665–674 (2007)

    CrossRef  Google Scholar 

  18. Reynolds, C.W.: Steering behaviors for autonomous characters. In: Game Developers Conference (1999)

    Google Scholar 

  19. Sakuma, T., Mukai, T., Kuriyama, S.: Psychological model for animating crowded pedestrians. Computer Animation & Virtual Worlds 16(3-4), 343–351 (2005), http://doi.wiley.com/10.1002/cav.105

    CrossRef  Google Scholar 

  20. Schoner, G., Dose, M.: A dynamical systems approach to task-level system integration used to plan and control autonomous vehicle motion. Robotics and Autonomous Systems 10, 253–267 (1992)

    CrossRef  Google Scholar 

  21. Thalmann, D., Grillon, H., Maim, J., Yersin, B.: Challenges in crowd simulation. In: Proceedings of the 2009 International Conference on Cyber Worlds, Washington, DC, USA, pp. 1–12 (2009), http://dx.doi.org/10.1109/CW.2009.23

  22. Thalmann, D., Musse, S.R.: Crowd simulation. Springer, Heidelburg (2007), http://books.google.com/books?id=-aY5V-ykawcC

  23. Thomas, R., Donikian, S.: A Spatial Cognitive Map and a Human-Like Memory Model Dedicated to Pedestrian Navigation in Virtual Urban Environments. In: Barkowsky, T., Knauff, M., Ligozat, G., Montello, D.R. (eds.) Spatial Cognition 2007. LNCS (LNAI), vol. 4387, pp. 421–438. Springer, Heidelberg (2007)

    CrossRef  Google Scholar 

  24. Warren, W.H., Fajen, B.R.: Behavioral Dynamics of Visually Guided Locomotion. In: Understanding Complex Systems, pp. 45–75. Springer, Heidelberg (2007)

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Editor information

Editors and Affiliations

Rights and permissions

Reprints and Permissions

Copyright information

© 2012 Springer-Verlag Berlin Heidelberg

About this paper

Cite this paper

Bonneaud, S., Rio, K., Chevaillier, P., Warren, W.H. (2012). Accounting for Patterns of Collective Behavior in Crowd Locomotor Dynamics for Realistic Simulations. In: Pan, Z., Cheok, A.D., Müller, W., Chang, M., Zhang, M. (eds) Transactions on Edutainment VII. Lecture Notes in Computer Science, vol 7145. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-29050-3_1

Download citation

  • DOI: https://doi.org/10.1007/978-3-642-29050-3_1

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-29049-7

  • Online ISBN: 978-3-642-29050-3

  • eBook Packages: Computer ScienceComputer Science (R0)