Advancing the layered approach to agent-based crowd simulation

Proceedings - Workshop on Principles of Advanced and Distributed Simulation, PADS

Volumn , Issue , 2008, Pages 185-192

  Banerjee, Bikramjit ^a   Abukmail, Ahmed ^a   Kraemer, Landon ^a  

^a UNIVERSITY OF SOUTHERN MISSISSIPPI   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

AGENT-BASED; CROWD SIMULATION; DISTRIBUTED SIMULATIONS;

AGENTS;

EID: 50849087978     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/PADS.2008.13     Document Type: Conference Paper

References (16)

1. S. Bandini, M. L. Federici, S. Manzoni, and G. Vizzari. Parallel Computing Technologies, chapter Pedestrian and Crowd Dynamics Simulation: Testing SCA on Paradigmatic Cases of Emerging Coordination in Negative Interaction Conditions, pages 360-369. Springer, 2007.
2. A. Braun, S. R. Musse, L. P. L. de Oliveira, and B. E. J. Bodmann. Modeling individual behaviors in crowd simulation. In Proceedings of the 16th International Conference on Computer Animation and Social Agents (CASA, pages 143-148, Los Alamitos, CA, USA, 2003. IEEE Computer Society.
3. M. Fukui and Y. Ishibashi. self-organized phase transitions in CA-models for pedestrians. J. Phys. Soc. Japan, pages 2861-2863, 1999.
4. B. Gudowski and J. Was. Some criteria of making decisions in pedestrian evacuation algorithms. In Proc. 6th International Conference on Computer Information Systems and Industrial Management Applications (CISIM'07). IEEE, 2007.
5. D. Helbing and P. Molnar. Social force model for pedestrian dynamics. Physical Review E, 51:42-82, 1995.
6. A. Helleboogh, T. Holvoet, D. Weyns, and Y. Berbers. Extending time management support for multi-agent systems. In P. Davidsson and et. al., editors, MABS 2004, LNAI 3415, pages 37-48, 2005.
7. K. Miyashita. Asap: Agent-based simulator for amusement park - toward eluding social congestions through ubiquitous scheduling. In P. Davidsson and et. al., editors, MABS 2004, LNAI 3415, pages 195-209, 2005.
8. X. Pan, C. Han, K. Dauber, and K. Law. A multi-agent based framework for simulating human and social behaviors during emergency evacuations. In Social Intelligence Design, Stanford University, March 2005.
9. C. Reynolds. Flocks, herds and schools: A distrtibuted behavior model. In Proceedings of ACM SIGGRAPH, 1987.
10. L. E. Sucar. Advances in Probabilistic Graphical Models, volume 214, chapter Parallel Markov Decision Processes, pages 295-309. Springer, 2007.
11. M. Sung, M. Gleicher, and S. Chenney. Scalable behaviors for crowd simulation. Comput. Graph. Forum, 23(3):519-528, 2004.
12. R. Sutton and A. G. Barto. Reinforcement Learning: An Introduction. MIT Press, 1998.
13. D. Torii, T. Ishida, S. Bonneaud, and A. Drogoul. Layering social interaction scenarios on environmental simulations. In P. Davidsson and et. al., editors, MABS 2004, LNAI 3415, pages 78-88, 2005.
14. P. Tozour. AI Game Programming Wisdom, volume 2, chapter Using Spatial Database for Runtime Spatial Analysis, pages 381-390. Charles River Media, 2004.
15. B. Ulicny and D. Thalmann. Towards interactive real-time crowd behavior simulation. Computer Graphics Forum, 21(4), 2002.
16. F. Wang, S. J. Turner, and L. Wang. Agent communication in distributed simulations. In P. Davidsson and et. al., editors, MABS 2004, LNAI 3415, pages 11-24, 2005.