Abstract
The aim of this work is to present a model based on a Stochastic Cellular Automata to generate granulometric distribution of pedestrian groups in structured spaces. The main goal of this model is to set initial configurations for pedestrian simulations starting from plausible scenarios that consider the presence of groups within a crowd. © 2012 Springer-Verlag Berlin Heidelberg.
Cite
CITATION STYLE
Bandini, S., Manenti, L., & Manzoni, S. (2012). Generation of pedestrian groups distributions with probabilistic cellular automata. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 7495 LNCS, pp. 299–308). Springer Verlag. https://doi.org/10.1007/978-3-642-33350-7_31
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