Simulation of Pedestrian Behaviour using a Discrete Choice Model Calibrated on Actual Motion Data
Pedestrian behavioral modeling is a topic that is receiving more and more attention in different areas of application such as panic analysis, building evacuation and surveillance systems. We propose a model based on discrete choice theory for pedestrian dynamic behavior. Our model is based on a local discretization of the space around each pedestrian, as opposed to other models which are continuous or which discretize the whole space. The model is calibrated using data from actual pedestrian movement taken from video sequences. In order to verify the quality of the calibrated model, we have developed a simulator based on it.