Modelling Stride Length and Stepping Frequency

A pedestrian motion model must be calibrated to measured data and validated against observations to achieve predictive power for the simulations. The relationship between the speed of pedestrians and the density of a crowd or the flow through bottlenecks are widely accepted as important characteristics of pedestrian movement. They are often used for calibration and validation. Other crucial characteristics of pedestrian movement have been discussed in recent studies. Two of these are the correlations between stride length and speed as well as between stepping frequency and speed. We show that one can reproduce these dependencies as measured in the experiments with the Optimal Steps Model (OSM), which captures stepping behaviour of pedestrians.

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