Abstract
Focusing on bi-direction pedestrian movement in corridor, this paper presents the definition of crowd space which is divided into personal space and information processing space. Pedestrian movement is caused by the synthetically actions of personal space as a repulsive field and information processing space as a gravitational field. A cellular automata model has been developed to simulate and evaluate the features of evolution process about pedestrian movement in corridor. It is demonstrated that pedestrian density and system scale have significant effects on evacuation time. And pedestrian movement in one direction would form the line in a sufficiently high pedestrian density. Furthermore, this process spontaneous separates bi-directional pedestrians. The approach can be used for analyzing pedestrian movement in various corridors, such as subway tracks, underground passage, etc.
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