Calibration of Nomad Parameters Using Empirical Data

Abstract

This paper describes the results of calibration of the Nomad pedestrian simulation model using empirical data from laboratory experiments. The results of the calibration show that complex walker models with large amounts of parameters can indeed be calibrated. The estimated average parameter values are shown and discussed, as well as their significance and correlation. Furthermore, pedestrian behaviors are investigated using the estimated parameters values in various conditions, among which flow configuration, pedestrian heterogeneity and traffic conditions.