Article

Modeling Groups of Pedestrians in Least Effort Crowd Movements Using Cellular Automata

Authors:

Siamak Sarmady,

Fazilah Haron,

Abdullah Zawawi Hj. TalibAuthors Info & Claims

AMS '09: Proceedings of the 2009 Third Asia International Conference on Modelling & Simulation

Pages 520 - 525

https://doi.org/10.1109/AMS.2009.16

Published: 25 May 2009 Publication History

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Abstract

Groups of pedestrians like family members and friends normally move slower than others and therefore act as a virtual barrier and slow down the crowd. In this paper we present our variation of least effort cellular automata algorithm which also considers the effect of pedestrian groups on crowd movement. The algorithm has been used in small scale movement layer of our multi-agent crowd simulation platform in order to allow more realistic simulations of crowd flows. A simple walkway scenario has been used to test the outcome of the model. Preliminary results of the simulation of the effect of groups are reported in this paper.

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Zhao MZhong JCai WFujimoto RUnger BCarothers C(2016)A Role-dependent Data-driven Approach for High Density Crowd Behavior ModelingProceedings of the 2016 ACM SIGSIM Conference on Principles of Advanced Discrete Simulation10.1145/2901378.2901382(89-97)Online publication date: 15-May-2016
https://dl.acm.org/doi/10.1145/2901378.2901382
Lemercier SAuberlet J(2016)Towards more behaviours in crowd simulationComputer Animation and Virtual Worlds10.1002/cav.162927:1(24-34)Online publication date: 1-Jan-2016
https://dl.acm.org/doi/10.1002/cav.1629
Bandini SCrociani LVizzari G(2013)Social Interactions in Crowds of PedestriansProceeding of the XIIIth International Conference on AI*IA 2013: Advances in Artificial Intelligence - Volume 824910.1007/978-3-319-03524-6_25(288-299)Online publication date: 4-Dec-2013
https://dl.acm.org/doi/10.1007/978-3-319-03524-6_25
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Modeling Groups of Pedestrians in Least Effort Crowd Movements Using Cellular Automata

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AMS '09: Proceedings of the 2009 Third Asia International Conference on Modelling & Simulation

May 2009

783 pages

ISBN:9780769536484

Publisher

IEEE Computer Society

United States

Publication History

Published: 25 May 2009

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Zhao MZhong JCai WFujimoto RUnger BCarothers C(2016)A Role-dependent Data-driven Approach for High Density Crowd Behavior ModelingProceedings of the 2016 ACM SIGSIM Conference on Principles of Advanced Discrete Simulation10.1145/2901378.2901382(89-97)Online publication date: 15-May-2016
https://dl.acm.org/doi/10.1145/2901378.2901382
Lemercier SAuberlet J(2016)Towards more behaviours in crowd simulationComputer Animation and Virtual Worlds10.1002/cav.162927:1(24-34)Online publication date: 1-Jan-2016
https://dl.acm.org/doi/10.1002/cav.1629
Bandini SCrociani LVizzari G(2013)Social Interactions in Crowds of PedestriansProceeding of the XIIIth International Conference on AI*IA 2013: Advances in Artificial Intelligence - Volume 824910.1007/978-3-319-03524-6_25(288-299)Online publication date: 4-Dec-2013
https://dl.acm.org/doi/10.1007/978-3-319-03524-6_25
Manenti LManzoni SVizzari GOhtsuka KShimura K(2011)An agent-based proxemic model for pedestrian and group dynamicsProceedings of the 12th international conference on Multi-Agent-Based Simulation10.1007/978-3-642-28400-7_6(74-89)Online publication date: 2-May-2011
https://dl.acm.org/doi/10.1007/978-3-642-28400-7_6
Wang DKwok NJia XLi F(2010)A cellular automata based crowd behavior modelProceedings of the 2010 international conference on Artificial intelligence and computational intelligence: Part II10.5555/1926560.1926594(218-225)Online publication date: 23-Oct-2010
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Georgoudas IKyriakos PSirakoulis GAndreadis I(2010)An FPGA implemented cellular automaton crowd evacuation model inspired by the electrostatic-induced potential fieldsMicroprocessors & Microsystems10.1016/j.micpro.2010.06.00134:7-8(285-300)Online publication date: 1-Nov-2010
https://dl.acm.org/doi/10.1016/j.micpro.2010.06.001
Lin MManocha D(2010)Virtual cityscapesFrontiers of Computer Science in China10.1007/s11704-010-0119-y4:3(405-416)Online publication date: 1-Sep-2010
https://dl.acm.org/doi/10.1007/s11704-010-0119-y

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