A study of pedestrian evacuation model of impatient queueing with cellular automata

Abstract

This paper proposes a pedestrian evacuation model for the crowd behavior of impatient queueing. Based on cellular automaton, this model simulates the impact of impatient queueing on evacuation performance by calculating the movement gain of the next targeting location of pedestrians based on the gains of floor field, impatience factor, and distance between exits. For further validating the model, simulation platform is established, focusing on the relationship between evacuation time, average movement velocity, pedestrian density, queue length and the number of impatient pedestrians, and their impacts on evacuation efficiency. As the experiment results imply, the queue length is negatively correlated with the exit capacity. Meanwhile, the number of impatient pedestrians in queue is positively correlated with pedestrian density and weight coefficient of queue length while it is negatively correlated with evacuation time and weight coefficient of distance between exits.