A STUDY ON THE EVACUATION OF PEOPLE IN A HALL USING THE CELLULAR AUTOMATON MODEL
Abstract
We have modified the transition probability calculations in the lattice gas model of biased-random walkers. Adopting the collision-avoided rules, a new cellular automata model of pedestrian flow which updates in parallel is established. Using this model, we have simulated and studied the evacuation process of people in a hall. The spatial configuration of people is presented, which is more consistent with the scene of reality than that presented in the lattice-gas model. It is found that the escape time tc closely depends on the width of the door and the initial density of people, it scales as tc ∝ W-0.55±0.01 and tc ∝ ρ0.98±0.01 ≈ ρ.
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