Empirical Investigation on Pedestrian Crowd Dynamics and Grouping

摘要: The definition and implementation of pedestrian simulation models requires empirical evidences, acquired by means experiments on-field observations, for sake model calibration validation. This paper describes an observation carried out in a urban commercial-touristic walkway (Vittorio Emanuele II Gallery, Milan, collaboration with the Municipality Milano). Although analysis considered traditional metrics describing flow, such as level service, main aim this work was to quantify characterize presence, impact behavior groups observed population. In particular, we had confirmatory results on frequency situation, but also achieved innovative trajectories walking speeds: path individuals 4 % longer than average groups, speed group members 37 lower one single pedestrians. Finally, metric characterizing dispersion defined applied scenario: relatively large (size three four) occupy more space their movement when compared couples. represent useful data validation pedestrians crowd dynamics, development automated techniques collection employing computer vision techniques.