Features of Microscopic Horizontal Transition of Cellular Automaton based Pedestrian Movement in Normal and Panic Situation

Abstract

Pedestrian movement in normal and panic situation has become the most outstanding research in this recent era for predictive aftermath outcome. The pedestrian movement usually will be in the self-organizing state that involves the microscopic movement based on the basic Cellular Automata (CA) model. However, during the simulation of pedestrian movement, there are several features that should be highlighted that will affect the movement speed and time. Hence, this preliminary research paper introduced the horizontal transition of microscopic movement with some features that create the closeness to the human behavior for the pedestrian simulation. This preliminary research introduced a simple case study on the closed area floor design and implemented some of the features discussed. The result showed that the behavior of the pedestrian is affected by their environment situation and the movement time of the pedestrian is determined by the number of obstacles in the grid cells of the spatial layout for collision avoidance.