Abstract
Applications of crowd simulation are numerous such as in computer science that includes study of crowd behaviour under different environmental conditions like panic situation. Therefore, this project will focus on analysis via available literature and to produce more realistic simulation based the microscopic models, namely Social Force Model (SF) that can reproduce individual and collective behaviours observed in real emergency evacuation situation. This paper intend to modify the model that will only pertain to crowd movement behaviour modelling in order to find an exit from a room in panic situation that integrate additional component named Anti-Arching. This also incorporates simple visualization such that it has only a single point per object, whereby the people in crowd will be modelled using particle The modification is also proven aligned with the ’faster-is-slower’ effect proposed by Parisi and Dorso [1].
Keywords
This is a preview of subscription content, log in via an institution.
Buying options
Tax calculation will be finalised at checkout
Purchases are for personal use only
Learn about institutional subscriptionsPreview
Unable to display preview. Download preview PDF.
References
Parisi, D.R., Dorso, C.O.: Microscopic dynamics of pedestrian evacuation. Physica A 354, 606–618 (2005)
Altshuler, E., et al.: Symmetry Breaking in Escaping Ants. The American Naturalist 166, 6 (2005)
Murakami, Y., Minami, K., Kawasoe, T., Ishida, T.: Multi-Agent Simulation for Crisis Management. Department of Social Informatics, Kyoto University, JST CREST Digital City Project (2002), http://www.lab7.kuis.kyoto-u.ac.jp/publications/02/yohei-kmn2002.pdf
Reynolds, C.: Flocks, Herds and Schools: A Distributed Behavioural Model. Computer Graphics 21(4), 25–34 (1987)
Helbing, D., Farkas, I., Vicsek, T.: Simulating Dynamical Features of Escape Panic. Nature 407, 487–490 (2000)
Cherif, F., Djedi, N.: A computer simulation model of emergency egress for space planners. Georgian Electronic Scientific Journal 8(1), 17–27 (2006)
Davoda, J., Ketterl, N.: Crowd Simulation. In: Research Seminar on Computer Graphics and Image Processing, SS 2009, Institut für Computer Graphik und Algorithmen, TU Wien, Austria (2009)
Lin, Y., Fedchenia1, I., LaBarre, B., Tomastik, R.: Agent-Based Simulation of Evacuation: An Office Building Case Study. In: Proceedings of PED 2008, Wuppertal, Germany (2008)
Reeves, W.T.: Particle systems - a technique for modeling a class of fuzzy objects. ACM Transactions on Graphics 2, 359–376 (1983)
Foudil, C., Rabiaa, C.: Crowd Simulation Influenced by Agent’s Sociopsychological State. Lesia Laboratory, Biskra University (2009), http://lesia.univbiskra.net/IMAGE2009/Documents/Communications/08-Chighoub.pdf
Davoda, J., Ketterl, N.: Crowd Simulation. In: Research Seminar on Computer Graphics and Image Processing, SS 2009, Institut für Computer Graphik und Algorithmen, TU Wien, Austria (2009)
Sun, L., Liu, Y., Sun, J., Bian, L.: The hierarchical behavior model for crowd simulation. In: Spencer, S.N. (ed.) Proceedings of the 8th International Conference on Virtual Reality Continuum and Its Applications in Industry, VRCAI 2009, Yokohama, Japan, December 14 - 15, pp. 279–284. ACM, New York (2009)
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2010 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Sharbini, H., Bade, A. (2010). Modification of Crowd Behaviour Modelling under Microscopic Level in Panic Situation. In: Boulic, R., Chrysanthou, Y., Komura, T. (eds) Motion in Games. MIG 2010. Lecture Notes in Computer Science, vol 6459. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-16958-8_33
Download citation
DOI: https://doi.org/10.1007/978-3-642-16958-8_33
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-16957-1
Online ISBN: 978-3-642-16958-8
eBook Packages: Computer ScienceComputer Science (R0)