An intelligent flour field cellular automation model for pedestrian dynamics
Ekaterina Kirik and Tat'yana Yurgel'yan
Summer Computer Simulation Conference 2007 (SCSC 2007)
San Diego, California (USA), July 15-18, 2007
Abstract
A stochastic cellular automation (CA) model for pedestrian dynamics is presented. Our goal is to simulate different types of pedestrian movement, from regular to panic. Regular situations imply that pedestrians analyze environment and choose their route more carefully and transition probabilities have to depict such effect. The model obtained takes its inspiration from floor field (FF) model. It uses advantages of FF model and realizes pedestrians environment analysis as well. Such combination and some new additions make simulation of pedestrians behavior more realistic.