  In this paper we report on a methodology to model pedestrian behaviours
whilst aggregate variables are concerned, with potential applications to
different situations, such as evacuating a building in emergency events. The
approach consists of using UWB (ultra-wide band) based data collection to
characterise behaviour in specific scenarios. From a number of experiments
carried out, we detail the single-file scenario to demonstrate the ability of
this approach to represent macroscopic characteristics of the pedestrian flow.
Results are discussed and we can conclude that UWB-based data collection shows
great potential and suitability for human trajectory extraction, when compared
to other traditional approaches.
