Dense Crowd Dynamics and Pedestrian Trajectories: A Multiscale Field Study at the F\^ete des Lumi\`eres in Lyon

TL;DR

This study provides a comprehensive multiscale dataset of dense pedestrian dynamics during the 2022 Festival of Lights in Lyon, capturing macroscopic flows, individual trajectories, and crowd phenomena to advance understanding of crowd behavior.

Contribution

It introduces one of the first extensive field datasets combining macroscopic and microscopic pedestrian data in a dense urban event setting.

Findings

Recorded approximately 7,000 pedestrian trajectories.

Captured crowd densities up to 4 individuals per square meter.

Documented various non-standard crowd phenomena.

Abstract

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.