A model describing collective behaviors of pedestrians with various personalities in danger situations

We present a model describing motions of individual pedestrians to study collective behaviors of pedestrians in various situations such as normal or emergency situations. Each individual pedestrian has ability to decide own desired action depending on circumstances and own personality. In the present work the personality of pedestrian is expressed as patient and impatient character. The main frame of the present model is constructed based on the social force model, and the individual ability to decide own desired action is represented by the counterpropagation neural network. The combination of neural network and dynamic model makes motions of pedestrians more natural and reliable in various situations. It has been shown from the computer simulation of passing of many pedestrians through a road that there exists an optimal ratio of patient person´s number to impatient person´s number for the passage time and amenity of pedestrians.