Published September 23, 2024
| Version v1
Dataset
Open
Dense Crowd Dynamics and Pedestrian Trajectories: A Multiscale Field Study at the Fête des Lumières in Lyon
Creators
-
1.
Centre National de la Recherche Scientifique
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2.
Université Toulouse-I-Capitole
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3.
Forschungszentrum Jülich
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4.
University of Wuppertal
- 5. Toulouse 1 Capitole University
Description
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.
Files
Data_Madras.zip
Files
(33.6 MB)
| Name | Size | Download all |
|---|---|---|
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md5:2ad3436fb8c6b25ebc72d51eacfa1abb
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33.6 MB | Preview Download |
Additional details
Funding
Software
- Repository URL
- https://go.fzj.de/madras-app
- Programming language
- Python
- Development Status
- Active