An intelligent floor field cellular automation model for pedestrian dynamics

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. But here we emphasize regular situations which imply that pedestrians analyze environment and choose their route more carefully. And transition probabilities have to depict such effect. The potentials of floor fields [5] and environment analysis [4] are combined in the model obtained. Model parameters adaptivity and modelling of people patience are included in the model. These things make simulation of pedestrians movement more realistic. Some simulation results are presented and comparison with basic model (FF-model [5]) is made.