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Controlling individual agents in high-density crowd simulation

Published:03 August 2007Publication History

ABSTRACT

Simulating the motion of realistic, large, dense crowds of autonomous agents is still a challenge for the computer graphics community. Typical approaches either resemble particle simulations (where agents lack orientation controls) or are conservative in the range of human motion possible (agents lack psychological state and aren't allowed to 'push' each other). Our HiDAC system (for High-Density Autonomous Crowds) focuses on the problem of simulating the local motion and global wayfinding behaviors of crowds moving in a natural manner within dynamically changing virtual environments. By applying a combination of psychological and geometrical rules with a social and physical forces model, HiDAC exhibits a wide variety of emergent behaviors from agent line formation to pushing behavior and its consequences; relative to the current situation, personalities of the individuals and perceived social density.

References

  1. {BLA02} Bayazit, O. B., Lien, J.-M. and Amato, N. M., Roadmap-based flocking for complex environments. in Proceedings of Pacific Conference on Computer Graphics and Applications, (2002), 104--113. Google ScholarGoogle ScholarDigital LibraryDigital Library
  2. {BNT94} Boulic, R., Noser, H. and Thalmann, D., Automatic derivation of curved human walking trajectories from synthetic vision. in Proceedings of Computer Animation, (1994), IEEE Computer Society Press, 93--103.Google ScholarGoogle ScholarCross RefCross Ref
  3. {BMO*03} Braun, A., Musse, S. R., Oliveira, L. P. L. and Bodmann, B. E. J., Modeling Individual Behaviors in Crowd Simulation. in Proceedings of Computer Animation and Social Agents, (2003), 143--148. Google ScholarGoogle ScholarDigital LibraryDigital Library
  4. {BH97} Brogan, D. and Hodgins, J. Group Behaviors for Systems with Significant Dynamics. Autonomous Robots, 4, 1997. 137--153. Google ScholarGoogle ScholarDigital LibraryDigital Library
  5. {Che04} Chenney, S., Flow Tiles. in ACM SIGGRAPH/ Eurographics Proceedings of Symposium on Computer Animation, (2004), 233--242. Google ScholarGoogle ScholarDigital LibraryDigital Library
  6. {FBT99} Farenc, N., Boulic, R. and Thalmann, D., An informed environment dedicated to the simulation of virtual humans in urban context. in Proceedings of Eurographics, (1999), 309--318.Google ScholarGoogle Scholar
  7. {HBJ*05} Helbing, Buzna, Johansson and Werner Self-Organized Pedestrian Crowd Dynamics. Transportation Science, 39 (1), 2005. 1--24. Google ScholarGoogle ScholarDigital LibraryDigital Library
  8. {HFV00} Helbing, D., Farkas, I. and Vicsek, T. Simulating dynamical features of escape panic. Nature, 407, 2000. 487--490.Google ScholarGoogle Scholar
  9. {KSL*96} Kavraki, L., Svestka, P., Latombe, J. and Overmars, M. Probabilistic roadmaps for path planning in high-dimensional configuration spaces. IEEE Transaction on Robotics and Automation, 12 (4), 1996. 566--580.Google ScholarGoogle ScholarCross RefCross Ref
  10. {KNN03} Kirchner, A., Namazi, A., Nishinari, K. and Schadschneider, A., Role of Conflicts in the Floor Field Cellular Automaton Model for Pedestrian Dynamics. in 2nd International Conference on Pedestrians and Evacuation Dynamics, (2003), 51--62.Google ScholarGoogle Scholar
  11. {LKF05} Lakoba, Kaup and Finkelstein Modification of the Helbing-Molnar-Farkas-Vicsek Social Force Model for Pedestrian Evolution. Simulation, 81 (5), 2005. 339--352. Google ScholarGoogle ScholarDigital LibraryDigital Library
  12. {LCC06} Lerner, A., Chrysanthou, Y. and Cohen-OR, D., Efficient cells-and-portals partitioning. in Computer Animation & Virtual Worlds, (2006), Wiley, 21--40. Google ScholarGoogle ScholarDigital LibraryDigital Library
  13. {LMM03} Loscos, C., Marchal, D. and Meyer, A. Intuitive crowd behaviour in dense urban environments using local laws. IEEE Theory and Practice of Computer Graphics, 2003. 122. Google ScholarGoogle ScholarDigital LibraryDigital Library
  14. {MS05} Massive_Software_Inc. 3D animation system for crowd-related visual effects, http://www.massivesoftware.com, 2005.Google ScholarGoogle Scholar
  15. {OCV*02} O'Sullivan, C., Cassell, J., Vilhjalmsson, H., Dobbyn, S., Peters, C., Leeson, W., Giang, T. and Dingliana, J., Crowd and Group Simulation with Levels of Detail for Geometry, Motion and Behavior. in Third Irish Workshop on Computer Graphics, (2002).Google ScholarGoogle Scholar
  16. {PHL05} Pan, X., Han, C. S. and Law, K. H., A Multi-agent Based Simulation Framework for the Study of Human and Social Behavior in Egress Analysis. in The International Conference on Computing in Civil Engineering, (Cancun, 2005).Google ScholarGoogle Scholar
  17. {PB06} Pelechano, N. and Badler, N. Modeling Crowd and Trained Leader Behavior during Building Evacuation. IEEE Computer Graphics and Applications, 26 (6), 2006. 80--86. Google ScholarGoogle ScholarDigital LibraryDigital Library
  18. {POS05} Pelechano, N., O'Brien, K., Silverman, B. and Badler, N., Crowd Simulation Incorporating Agent Psychological Models, Roles and Communication. in First International Workshop on Crowd Simulation. (V-CROWDS '05), (2005).Google ScholarGoogle Scholar
  19. {PLT05} Pettre, J., Laumond, J.-P. and Thalmann, D., A Navigation Graph for real-time crowd animation on multilayered and uneven terrain, in First International Workshop on Crowd Simulation, (2005), 81--90.Google ScholarGoogle Scholar
  20. {Rey87} R, C., Flocks, herds, and schools: A distributed behavior model. in Proceedings of ACM SIGGRAPH, (1987), 25--34. Google ScholarGoogle ScholarDigital LibraryDigital Library
  21. {Rey99} Reynolds, C., Steering behaviors for autonomous characters. in Game Developers Conference, (1999), 763--782.Google ScholarGoogle Scholar
  22. {ST05} Shao, W. and Terzopoulos, D., Autonomous pedestrians. in Proceedings of ACM SIGGRAPH / Eurographics Symposium on Computer Animation, (2005), 19--28. Google ScholarGoogle ScholarDigital LibraryDigital Library
  23. {SBC*06} Silverman, B., Bharathy, G., Cornwell, J. and O'Brien, K. Human Behavior Models for Agents in Simulators and Games: Part II - Gamebots for a Foreign Culture. Presence, 15 (2), 2006. 163--185. Google ScholarGoogle ScholarDigital LibraryDigital Library
  24. {SKG05} Sung, M., Kovar, L. and Gleicher, M., Fast and accurate goal-directed motion synthesis for crowds. in Symposium on Computer Animation, (2005), 291--300. Google ScholarGoogle ScholarDigital LibraryDigital Library
  25. {TLC*01} Tecchia, F., Loscos, C., Conroy, R. and Chrysanthou, Y., Agent behavior simulator (ABS): A platform for urban behavior development, in Proceedings of ACM/EG Games Technology Conference, (2001).Google ScholarGoogle Scholar
  26. {TMK99} Thalmann, D., Musse, S. R. and Kallmann, M., Virtual Humans' Behavior: Individuals, Groups, and Crowds. in Proceedings of Digital Media Futures, (1999), 13--15.Google ScholarGoogle Scholar
  27. {TD00} Thomas, G. and Donikian, S., Virtual Humans Animation in Informed Urban Environments. in Proceedings of Computer Animation, (2000), 112. Google ScholarGoogle ScholarDigital LibraryDigital Library
  28. {TCP06} Treuille, A., Cooper, S. and Popivic, Z., Continuum Crowds. in ACM Transactions on Graphics (SIGGRAPH 2006), (2006), 1160--1168. Google ScholarGoogle ScholarDigital LibraryDigital Library
  29. {TT94} Tu, X. and Terzopoulos, D., Artificial Fishes: Physics, Locomotion, Perception, Behavior. in Proceedings of ACM SIGGRAPH, (1994), 43--50. Google ScholarGoogle ScholarDigital LibraryDigital Library

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      • Published in

        cover image ACM Conferences
        SCA '07: Proceedings of the 2007 ACM SIGGRAPH/Eurographics symposium on Computer animation
        August 2007
        287 pages
        ISBN:9781595936240

        Publisher

        Eurographics Association

        Goslar, Germany

        Publication History

        • Published: 3 August 2007

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        • Article

        Acceptance Rates

        SCA '07 Paper Acceptance Rate28of81submissions,35%Overall Acceptance Rate183of487submissions,38%

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