Overcrowding, queues, inefficient visitors’ management: how familiar are they? What if an automatic system could manage in real-time crowd flows improving comfort and safety? This project will leverage automated tracking, modelling and machine learning to advance the understanding of crowd dynamics and bring unprecedented improvements in our daily pedestrian experience. For more information about the research carried out at TU/e on statistic and fluid-dynamics properties of crowds: (http://crowdflow.phys.tue.nl/wordpress/).
Degree of recognition
Netherlands Organisation for Scientific Research (NWO)