Summary
This paper proposes a SCA-based model for crowd dynamics phenomena. SCA (Situated Cellular Agents) is a modeling and simulation approach based on Multi Agent Systems principles that is characterized by the representation of an explicit spatial structure. This paper is focused on the crowd aggregation phenomenon described by Elias Canetti. This work will provide a methodology example of translation of a social theory into a SCA-based computational model.
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References
K. Still. Crowd Dynamics. PhD thesis, Dept. of Mathematics, University of Warwick, 2000.
J. Ferber. Multi-Agent Systems, Addison-Wesley, Reading, 1999.
S. Bandini, S. Manzoni, and C. Simone. Enhancing cellular spaces by multilayered multi agent situated systems. In Cellular Automata, Proceedings of 5th International Conference on Cellular Automata for Research and Industry (ACRI 2002), Geneva (Switzerland), October 9–11, 2002, Volume 2493 of Lecture Notes in Computer Science, Springer, Berlin, 2002.
S. Bandini, M.L. Federici, S. Manzoni, and G. Vizzari. Pedestrian and crowd dynamics simulation: Testing SCA on paradigmatic cases of emerging coordination in negative interaction conditions. In Proc. of PACT07, 2007.
E. Canetti. Crowds and Power, Farrar, Straus and Giroux, New York, 1984.
D. Helbing and P. Molnar. Social force model for pedestrian dynamics. Phys. Rev. E 51:4282–4287, 1995.
D. Helbing, J. Keltsch, and P. Molnar. Modelling the evolution of human trail systems. Nature, 338:47–50, 1997.
S. Hoogendoorn and P.H.L. Bovy. Gas-kinetic modeling and simulation of pedestrian flows. Transportation Research Record, 1710:28–36, 2000.
D. Helbing, I. Farkas, and T. Vicsek. Simulating dynamical features of escape panic. Nature, 407:487–490, 2000.
A. Schadschneider. Cellular automaton approach to pedestrian dynamics—theory. In Pedestrian and Evacuation Dynamics, eds. M. Schreckenberg and S. Sharma, pages 75–85. Springer, Berlin, 2002.
A. Burstedde, A. Kirchner, K. Klauck, A. Schadschneider, and J. Zittartz. Cellular automaton approach to pedestrian dynamics—applications. In Pedestrian and Evacuation Dynamics, eds. M. Schreckenberg, S. Sharma, pages 87–97. Springer, Berlin, 2002.
M. Schreckenberg and S. Sharma (eds.). Pedestrian and Evacuation Dynamics, Springer, Berlin, 2002.
V.J. Blue and J. Adler. Cellular automata microsimulation for modeling bidirectional pedestrian walkways. Transportation Research Part B, 35:293–312, 2001.
H. Klüpfel. A Cellular Automaton Model for Crowd Movement and Egress Simulation. PhD thesis, Universität Duisburg-Essen, 2003.
S. Morishita and T. Shiraishi. Evaluation of billboards based on pedestrian flow in the concourse of the station. In Proc. of 7th International Conference on Cellular Automata (ACRI 2006), pages 716–719, 2006.
M.C. Toyama, A.L.C. Bazzan, and R. da Silva. An agent-based simulation of pedestrian dynamics: from lane formation to auditorium evacuation. In Proc. of AAMAS 06, pages 108–110, 2006.
F. Klugl and G. Rindsfuser. Large-scale agent-based pedestrian simulation. In Multiagent System Technologies, pages 145–156, 2007.
P. Torrens. Cellular automata and multi-agent systems as planning support tools. In Planning Support Systems in Practice, pages 205–222, 2002.
M. Batty, H. Couclelis, and M. Eichen. Urban systems as cellular automata. Environment and Planning B, 24:159–164, 1997.
S. Bandini, S. Manzoni, and G. Vizzari. Towards a platform for MMASS-based simulations: focusing on field diffusion. Applied Artificial Intelligence, 20:327–351, 2006.
S. Bandini, S. Manzoni, G. Pavesi, and C. Simone. L*MASS: A language for situated multi-agent systems. In Proc. of the 7th Congress of the Italian Association for Artificial Intelligence (AI*IA 2001), Volume 2175, 2001.
H. Blumer. Collective Behavior, Irvington Publishers, New York, 1993. 1st edition 1951.
G. Le Bon. The Crowd: a Study of the Popular Mind, Dover, New York, 2002. 1st edition 1895.
L.H. Turner and L.M. Killian. Collective Behavior, Prentice-Hall, New York, 1987.
L. Levy. A study of sports crowd behavior: The case of the great pumpkin incident. Journal of Sport and Social Issues, 13:69–91, 1989.
S. Bandini and M. Magagnini. Pattern control in the generation of artificial percolation beds: a cellular automata approach. In ACRI2000, pages 1–10, 2000.
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Bandini, S., Federici, M.L., Manzoni, S., Redaelli, S. (2010). A SCA-Based Model for Open Crowd Aggregation. In: Klingsch, W., Rogsch, C., Schadschneider, A., Schreckenberg, M. (eds) Pedestrian and Evacuation Dynamics 2008. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-04504-2_37
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DOI: https://doi.org/10.1007/978-3-642-04504-2_37
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