A STUDY ON THE EVACUATION OF PEOPLE IN A HALL USING THE CELLULAR AUTOMATON MODEL
ROUHANG CHEN, Qiu Bing, Chaoying Zhang, Lingjiang Kong, MUREN LIU
Abstract
ROUHANG CHEN, Qiu Bing, Chaoying Zhang, Lingjiang Kong, MUREN LIU
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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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.
Key concepts: Cellular automaton, Lattice gas automaton, Lattice (music), Statistical physics, Stochastic cellular automaton, Computer science, Pedestrian, Collision