We study the evacuation of a set of 200 pedestrians from a room under a state of panic. The dynamics of the pedestrians is given by the Social Force Model. The degree of panic is controlled by a parameter vd which represents the velocity at which pedestrians wish to move. We show that the...

Based on suitable video recordings of interactive pedestrian motion and improved tracking software, we apply an evolutionary optimization algorithm to determine optimal parameter specifications for the social force model. The calibrated model is then used for large-scale pedestrian simulations...

In the present work, we studied the room evacuation problem using the social force model introduced by Helbing and coworkers. This model allows to explore different degree of panic. The ‘faster is slower’ effect induced by panic is analyzed. It can be explained in terms of increasing...