PEDESTRAIN CELLULAR AUTOMATA AND INDUSTRIAL PROCESS SIMULATION

Individuals base decisions on their surroundings and change their minds based on the action of others and interactions with the environment. Current Cellular Automata techniques for modeling pedestrian movement predetermine the individual's goals and do not change them throughout the execution of the simulation. To allow the individuals to make decisions as the simulation progresses a technique has been developed to separate the decision making process of environmental factors and the static environmental effects. Any individual can modify where they are going, based on the locations of other individuals, their capabilities of movement, current velocity and relationships to the environment. This technique will allow individuals to pick the best paths based on what is actually happening during the simulation. This technique can be used to optimize work flow strategies and seek the best way to deal with work stoppages and other problems which may arise.