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Article

Pedestrian and crowd dynamics simulation: testing SCA on paradigmatic cases of emerging coordination in negative interaction conditions

Authors:

Stefania Bandini,

Mizar Luca Federici,

Giuseppe VizzariAuthors Info & Claims

PaCT'07: Proceedings of the 9th international conference on Parallel Computing Technologies

Pages 360 - 369

Published: 03 September 2007 Publication History

Abstract

The paper presents a set of theoretical experiments performed to evaluate Situated Cellular Agent (SCA) approach within pedestrian dynamics research context. SCA is a modeling and simulation approach based on Multi Agent Systems principles that derives from Cellular Automata. In particular, we focus on two emerging phenomena (freezing by heating and lane formation phenomena) that have been empirically observed and already modeled by analytical particle-based models and Cellular Automata-based models.

References

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Schreckenberg, M., Sharma, S.: Pedestrian and Evacuation Dynamics. Springer, Heidelberg (2002)

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Bandini, S., Federici, M.L., Manzoni, S., Vizzari, G.: Towards a methodology for situated cellular agent based crowd simulations. In: Dikenelli, O., Gleizes, M.-P., Ricci, A. (eds.) ESAW 2005. LNCS (LNAI), vol. 3963, Springer, Heidelberg (2006)

Digital Library

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Bandini, S., Manzoni, S., Simone, C.: Enhancing cellular spaces by multilayered multi agent situated systems. In: Bandini, S., Chopard, B., Tomassini, M. (eds.) ACRI 2002. LNCS, vol. 2493, pp. 156-167. Springer, Heidelberg (2002)

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Ferber, J.: Multi-Agent Systems. Addison-Wesley, Harlow (UK) (1999)

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Helbing, D.: A fluid-dynamic model for the movement of pedestrians. Complex Systems 6, 391-415 (1992)

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Blue, V.J., Adler, J.: Cellular automata microsimulation for modeling bidirectional pedestrian walkways. Trasportation Research Part B 35, 293-312 (2001)

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Klupfel, H.: A Cellular Automaton Model for Crowd Movement and Egress Simulation. PhD thesis, Universitat Duisburg-Essen (2003) http://www.ub.uni-duisburg.de/ETD-db/theses/available/duett-08012003-092540/

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Morishita, S., Shiraishi, T.: Evaluation of billboards based on pedestrian flow in the concourse of the station. In: El Yacoubi, S., Chopard, B., Bandini, S. (eds.) ACRI 2006. LNCS, vol. 4173, pp. 716-719. Springer, Heidelberg (2006)

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Batty, M., Couclelis, H., Eichen, M.: Urban systems as cellular automata. 24 (1997)

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Torrens, P.: Cellular automata and multi-agent systems as planning support tools. Planning Support Systems in Practice, 205-222 (2002)

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Bandini, S., Manzoni, S., Vizzari, G.: Multi-agent approach to localization problems: the case of multilayered multi agent situated system. Web Intelligence and Agent Systems: An International Journal 2, 155-166 (2004)

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Bandini, S., Manzoni, S., Vizzari, G.: SCA: a model to simulate crowding dynamics. Special Issues on Cellular Automata. IEICE Transactions on Information and Systems E87-D, 669-676 (2004)

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Bandini, S., Manzoni, S., Simone, C.: Dealing with space in multi-agent system: a model for situated MAS. In: Castelfranchi, C., Johnson, L. (eds.) Proceedings of the 1st International Joint Conference on Autonomous Agents and Multi Agent Systems (AAMAS 2002), July 15-19, 2002, pp. 1183-1190. ACM Press, New York (2002)

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Bandini, S., Manzoni, S., Pavesi, G., Simone, C.: L*MASS: A language for situated multi-agent systems. In: Esposito, F. (ed.) AI*IA 2001: Advances in Artificial Intelligence. LNCS (LNAI), vol. 2175, pp. 249-254. Springer, Heidelberg (2001)

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Schadschneider, A.: Cellular automaton approach to pedestrian dynamics -theory (Pedestrian and Evacuation Dynamics) 75-86 (2001)

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Still, G.K.: Crowd Dynamics. PhD thesis, University of Warwick, Warwick (2000) http://www.crowddynamics.com/

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Helbing, D., Farkas, J.I., Molnàr, P., Vicsek, T.: Simulation of Pedestrian Crowds in Normal and Evacuation Situations. In: Proccedings of PED01, Pedestrian and Evacuation Dynamics, pp. 21-58. Springer, Heidelberg (2002)

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Blue, V.J., Adler, J.L.: Cellular automata microsimulation for modeling bidirectional pedestrian walkways. Trasportation Research Part B 35, 293-312 (2001)

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Bandini, S., Manzoni, S., Simone, C.: Situated Cellular Agents in Non-uniform Spaces. In: Malyshkin, V. (ed.) PaCT 2003. LNCS, vol. 2763, pp. 10-19. Springer, Heidelberg (2003)

Cited By

Al-Zinati MWenkstern RWeiss GYolum PBordini RElkind E(2015)A Self-Organizing Virtual Environment for Agent-Based SimulationsProceedings of the 2015 International Conference on Autonomous Agents and Multiagent Systems10.5555/2772879.2773283(1031-1039)Online publication date: 4-May-2015
https://dl.acm.org/doi/10.5555/2772879.2773283
Kuiper DWenkstern R(2015)Agent vision in multi-agent based simulation systemsAutonomous Agents and Multi-Agent Systems10.1007/s10458-014-9250-829:2(161-191)Online publication date: 1-Mar-2015
https://dl.acm.org/doi/10.1007/s10458-014-9250-8
Kuiper DWenkstern RGini MShehory OIto TJonker C(2013)Virtual agent perception combination in multi agent based systemsProceedings of the 2013 international conference on Autonomous agents and multi-agent systems10.5555/2484920.2485017(611-618)Online publication date: 6-May-2013
https://dl.acm.org/doi/10.5555/2484920.2485017
Show More Cited By

Pedestrian and crowd dynamics simulation: testing SCA on paradigmatic cases of emerging coordination in negative interaction conditions
1. Computing methodologies
  1. Artificial intelligence
    1. Distributed artificial intelligence

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Information & Contributors

Information

Published In

cover image Guide Proceedings

PaCT'07: Proceedings of the 9th international conference on Parallel Computing Technologies

September 2007

631 pages

ISBN:3540739394

Editor:
Victor Malyshkin
Russian Academy of Sciences, Institute of Computational Mathematics and Mathematical Geophysics, Supercomputer Software Department, Novosibirsk, Russia

Sponsors

National Scientific Council: National Scientific Council (Taiwan)
Microsoft: Microsoft
The Russian Fund for Basic Research: The Russian Fund for Basic Research
IBM: IBM
The Russian Academy of Sciences: The Russian Academy of Sciences

Publisher

Springer-Verlag

Berlin, Heidelberg

Publication History

Published: 03 September 2007

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Cited By

Al-Zinati MWenkstern RWeiss GYolum PBordini RElkind E(2015)A Self-Organizing Virtual Environment for Agent-Based SimulationsProceedings of the 2015 International Conference on Autonomous Agents and Multiagent Systems10.5555/2772879.2773283(1031-1039)Online publication date: 4-May-2015
https://dl.acm.org/doi/10.5555/2772879.2773283
Kuiper DWenkstern R(2015)Agent vision in multi-agent based simulation systemsAutonomous Agents and Multi-Agent Systems10.1007/s10458-014-9250-829:2(161-191)Online publication date: 1-Mar-2015
https://dl.acm.org/doi/10.1007/s10458-014-9250-8
Kuiper DWenkstern RGini MShehory OIto TJonker C(2013)Virtual agent perception combination in multi agent based systemsProceedings of the 2013 international conference on Autonomous agents and multi-agent systems10.5555/2484920.2485017(611-618)Online publication date: 6-May-2013
https://dl.acm.org/doi/10.5555/2484920.2485017
Bonomi AManzoni SPisano AVizzari G(2009)Experimenting Situated Cellular Agents in Indoor ScenarioProceedings of the 2009 IEEE/WIC/ACM International Joint Conference on Web Intelligence and Intelligent Agent Technology - Volume 0310.1109/WI-IAT.2009.357(591-594)Online publication date: 15-Sep-2009
https://dl.acm.org/doi/10.1109/WI-IAT.2009.357
Banerjee BAbukmail AKraemer L(2008)Advancing the Layered Approach to Agent-Based Crowd SimulationProceedings of the 22nd Workshop on Principles of Advanced and Distributed Simulation10.1109/PADS.2008.13(185-192)Online publication date: 3-Jun-2008
https://dl.acm.org/doi/10.1109/PADS.2008.13

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