| Autor: |
Dufour, Oscar, Dang, Huu-Tu, Cordes, Jakob, Korbmacher, Raphael, Benoit, Gaudou, Chraibi, Mohcine, Nicolas, Alexandre, Tordeux, Antoine |
| Rok vydání: |
2024 |
| Předmět: |
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| Druh dokumentu: |
Working Paper |
| Popis: |
We present one of the first comprehensive field datasets capturing dense pedestrian dynamics across multiple scales, ranging from macroscopic crowd flows over distances of several hundred meters to microscopic individual trajectories, including approximately 7,000 recorded trajectories. The dataset also includes a sample of GPS traces, statistics on contact and push interactions, as well as a catalog of non-standard crowd phenomena observed in video recordings. Data were collected during the 2022 Festival of Lights in Lyon, France, within the framework of the French-German MADRAS project, covering pedestrian densities up to 4 individuals per square meter. |
| Databáze: |
arXiv |
| Externí odkaz: |
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