Abstract
In recent years, the research on group movement has been drew pedestrian and evacuation dynamicists’ attention. In this paper, we explored to build a group model in a simple way. The group model considered two drift parameters, D and d. Thereinto, D expresses the destination’s attraction and d stands for group leader’s attraction and d is simplified to direct towards the group leader. Meantime, a method of generating groups is proposed. The simulation results show that with the increase of group size, the negative effect of group on crowd becomes greater. And group walking has more obvious effect on group owning large velocity. Besides the increase of group attraction intensity makes the negative effect distinct. In addition, it is found that with the increase of group disperse degree, the negative impact of group walking becomes obvious. What’s more, the effect of group disperse degree will not increase without limitation. The findings in this paper help researchers understand the impact of the presence of groups on crowd.
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References
Moussaïd, M., et al.: The walking behaviour of pedestrian social groups and its impact on crowd dynamics. PloS One 5(4), e10047 (2010)
Barrios, B.A., et al.: Effect of a social stigma on interpersonal distance. The Psychological Record (1976)
Bell, P., et al.: High density and crowding. Environmental psychology, 5th edn., pp. 293–332. Thomson Wadsworth, Belmont (2001)
Hall, J.A., Coats, E.J., LeBeau, L.S.: Nonverbal behavior and the vertical dimension of social relations: A meta-analysis. Psychological Bulletin 131(6), 898 (2005)
Hall, E.: Distances in man: The hidden dimension. Double Day, Garden City (1966)
Cook, M.: Experiments on orientation and proxemics. Human Relations 23(1), 61–76 (1970)
Wirtz, P., Ries, G.: The pace of life-reanalysed: Why does walking speed of pedestrians correlate with city size? Behaviour 123(1-2), 1–2 (1992)
Qiu, F., Hu, X.: Modeling group structures in pedestrian crowd simulation. Simulation Modelling Practice and Theory 18(2), 190–205 (2010)
Qiu, F., Hu, X.: A Framework for Modeling Social Groups in Agent-Based Pedestrian Crowd Simulations. International Journal of Agent Technologies and Systems (IJATS) 4(1), 39–58 (2012)
Fridman, N., Zilka, A., Kaminka, G.A.: The impact of cultural differences on crowd dynamics in pedestrian and evacuation domains (2011)
Wei, X.G., Mai, X., Lv, W., Song, W.G.: Microscopic character and Movement Consistency of Pedestrian Group: An Experimental Study in Campus. In: The 11th IAFSS Symposium (2014)
Bandini, S., Manenti, L., Manzoni, S.: Generation of Pedestrian Groups Distributions with Probabilistic Cellular Automata. In: Sirakoulis, G.C., Bandini, S. (eds.) ACRI 2012. LNCS, vol. 7495, pp. 299–308. Springer, Heidelberg (2012)
Köster, G., et al.: On modelling the influence of group formations in a crowd. Contemporary Social Science 6(3), 397–414 (2011)
Vizzari, G., et al.: An agent-based approach to pedestrian and group dynamics: experimental and real world scenarios. In: Proceedings of the 7th International Workshop on Agents in Traffic and Transportation (2012)
Vizzari, G., Manenti, L., Crociani, L.: Adaptive pedestrian behaviour for the preservation of group cohesion. Complex Adaptive Systems Modeling 1(1), 7 (2013)
Song, W.G., et al.: Simulation of evacuation processes using a multi-grid model for pedestrian dynamics. Physica A-Statistical Mechanics and Its Applications 363(2), 492–500 (2006)
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Xiaoge, W., Weiguo, S., Xuan, X., Zhiming, F., Xiaolian, L. (2014). Effect of Group Behavior on Crowd Dynamics. In: Wąs, J., Sirakoulis, G.C., Bandini, S. (eds) Cellular Automata. ACRI 2014. Lecture Notes in Computer Science, vol 8751. Springer, Cham. https://doi.org/10.1007/978-3-319-11520-7_47
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DOI: https://doi.org/10.1007/978-3-319-11520-7_47
Publisher Name: Springer, Cham
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