Abstract
In this study, pedestrian flow considering group especially for dyads is modelled in cellular automata (CA). Rigid body approximation is made based on the assumption of that the dyads are bonded with strong psychophysical relationship and have strong intention to stay together. Multi cell CA is applied for dyads and transition rules associating to their stress reducing behaviour are designed. Simulations are carried out to reproduce pedestrian flow in a pavement. Investigations are carried out to clarify how proportion of dyad and pedestrian density affect the pedestrian flow and spatial pattern of dyads. Although it has been known that dyads keeps line-abreast pattern at low density flow and river-like pattern at high density flow by observation study, but this is the first study which considers the detailed mechanisms to reproducing such phenomena by modelling and simulation.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
References
Federici, M.L., Gorrini, A., Manenti, L., Vizzari, G.: Data collection for modeling and simulation: case study at the university of milan-bicocca. In: Sirakoulis, G.Ch., Bandini, S. (eds.) ACRI 2012. LNCS, vol. 7495, pp. 699–708. Springer, Heidelberg (2012)
Gorrini, A., Bandini, S., Vizzari, G.: Empirical investigation on pedestrian crowd dynamics and grouping. Traffic Granular Flow 13, 83–91 (2014)
Costa, M.: Interpersonal distances in group walking. J. Nonverbal Behav. 34(1), 15–26 (2010)
Moussaïd, M., Niriaska, P.N., Simon, G.S., Dirk Helbing, D., Guy Theraulaz, G.: The walking behaviour of pedestrian social groups and its impact on crowd dynamics. PLoS ONE 5(4), e10047 (2010)
Wolfram, S.: Cellular Automata and Complexity: Collected Papers. Addison-Wesley Publishing Company, Reading (1994)
Derrida, B., Evans, M.R., Hakim, V., Pasquier, V.: Exact solution of a 1D asymmetric exclusion model using a matrix formulation. J. Phys. A: Math. Gen. 26, 1493 (1993)
Schadschneider, A., Schreckenberg, M.: Cellular automaton models and traffic flow. J. Phys. A: Math. Gen. 26, L679–L683 (1993)
Bandini, S., Rubagotti, F., Vizzari, G., Shimura, K.: A cellular automata based model for pedestrian and group dynamics: motivations and first experiments. In: Malyshkin, V. (ed.) PaCT 2011. LNCS, vol. 6873, pp. 125–139. Springer, Heidelberg (2011)
Bandini, S., Rubagotti, F., Vizzari, G., Shimura, K.: An agent model of pedestrian and group dynamics: experiments on group cohesion. In: Pirrone, R., Sorbello, F. (eds.) AI*IA 2011. LNCS, vol. 6934, pp. 104–116. Springer, Heidelberg (2011)
Bandini, S., Manzoni, S., Mauri, G., Redaelli, S., Vanneschi, L., Bandini, S., Manenti, L., Manzoni, S.: Generation of pedestrian groups distributions with probabilistic cellular automata. In: Sirakoulis, G.Ch., Bandini, S. (eds.) ACRI 2012. LNCS, vol. 7495, pp. 299–308. Springer, Heidelberg (2012)
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2016 Springer International Publishing Switzerland
About this paper
Cite this paper
Shimura, K., Bandini, S., Nishinari, K. (2016). Cellular Automata Model of Dyads Dynamics in a Pedestrian Flow by Rigid Body Approximation. In: El Yacoubi, S., WÄ…s, J., Bandini, S. (eds) Cellular Automata. ACRI 2016. Lecture Notes in Computer Science(), vol 9863. Springer, Cham. https://doi.org/10.1007/978-3-319-44365-2_36
Download citation
DOI: https://doi.org/10.1007/978-3-319-44365-2_36
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-319-44364-5
Online ISBN: 978-3-319-44365-2
eBook Packages: Computer ScienceComputer Science (R0)