A Network-Based Method for Modeling Pedestrian Evacuation in Indoor Areas

We develop a method to formulate pedestrians´ route choice behavior and physical congestion during evacuation process in indoor areas with internal obstacles. This method first constructs a network through discretizing the pedestrian space and then employs a proposed cell transmission model to predict the pedestrian flow´s evolution propagation over time and space in the network. It is quite remarkable that this method can be used to predict pedestrians´ evolution over time and space, especially in the indoor area with internal obstacles, and also formulate the collection behaviors of pedestrians through a bottleneck.