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Abstract title The role of fluctuations and interactions in pedestrian dynamics
Author Corbetta, Alessandro, Eindhoven University of Technology, Eindhoven, Netherlands (Presenting Author)
Co-author(s) Meeusen, Jasper
Lee, Chung-min
Toschi, Federico
Topic Statistical physics and soft condensed matter
Abstract text

Understanding quantitatively the statistical behaviour of pedestrians walking in crowds is a major scientific challenge of societal relevance. Via 24/7 automatic pedestrian tracking from overhead Microsoft Kinect depth sensors, we collected large ensembles of pedestrian trajectories in real-life scenarios. These allowed to measure with very high statistics the PDFs of pedestrians dynamics. By means of Langevin-like models, inclusive of individual fluctuations and mutual avoidance, we provide models for the measured data.

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