Generation of Pedestrian Groups Distributions with Probabilistic Cellular Automata

摘要

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.