Density and velocity patterns during one year of pedestrian tracking

We tracked the movement of people during a one year span in a shopping mall to study pedestrian behaviour under different density and usage conditions. We analyse the time and space dependence of pedestrian density and velocity, showing good agreement with the predictions of our "social norm" collision model. We also show that along with the expected decrease of velocity with growing density, we find density independent time patterns, corresponding to higher velocity in working days and during "rush hours", and also a general tendency to have slower velocities in later hours. We also report a positive correlation of pedestrian velocity with human height, an effect weaker on weekends.