Pedestrian Trajectory Dataset of Public European Squares

Pedestrian trajectories are used to learn about human behavior in public space and the impact of spatial features on pedestrian flows. Currently, these trajectories are collected manually, with self-tracking devices, or with video cameras. Even when trajectories are obtained using computational techniques, such as using computer vision to trace them in space, these datasets are not made available for reproducibility or comparative studies between different locations. To close this gap, this paper makes available the data of pedestrian trajectories collected in 39 European squares. Firstly, we summarize the data collection process which was based on collecting footage from publicly available webcams. Secondly, we describe the process of trajectory extraction entailing object detection, tracking, and georeferencing. Lastly, we describe the data cleaning and validation steps that lead to the final dataset. The dataset ultimately includes 348,300 pedestrian trajectories extracted from 193 hours of video footage, collected at different times of the day, during working days and weekends, and during the Spring and Summer season.

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Publication Details

Journal
Scientific Data
Published
2026-02-10
DOI
https://doi.org/10.1038/s41597-026-06686-6
Primary Topic
Evacuation and Crowd Dynamics
Type
article
Field-Weighted Citation Impact
0.00

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article

Pedestrian Trajectory Dataset of Public European Squares

Paolo Santi, Titus Venverloo, Jessica Michelle Wreyford, Fábio Duarte et al.
Scientific Data
Evacuation and Crowd Dynamics
article

Pedestrian Trajectory Dataset of Public European Squares

Paolo Santi, Titus Venverloo, Jessica Michelle Wreyford, Fábio Duarte, Layne Perry, Nils Wolff, Geertje Slingerland
article en

Abstract

Pedestrian trajectories are used to learn about human behavior in public space and the impact of spatial features on pedestrian flows. Currently, these trajectories are collected manually, with self-tracking devices, or with video cameras. Even when trajectories are obtained using computational techniques, such as using computer vision to trace them in space, these datasets are not made available for reproducibility or comparative studies between different locations. To close this gap, this paper makes available the data of pedestrian trajectories collected in 39 European squares. Firstly, we summarize the data collection process which was based on collecting footage from publicly available webcams. Secondly, we describe the process of trajectory extraction entailing object detection, tracking, and georeferencing. Lastly, we describe the data cleaning and validation steps that lead to the final dataset. The dataset ultimately includes 348,300 pedestrian trajectories extracted from 193 hours of video footage, collected at different times of the day, during working days and weekends, and during the Spring and Summer season.

Scientific DataVol. 13(1)
Amsterdam Institute for Advanced Metropolitan Solutions (NL), Massachusetts Institute of Technology (US), Wageningen University & Research (NL), Delft University of Technology (NL)
Sociedade Beneficente Israelita Brasileira Albert Einstein
Openalex Percentile: Top 61%
Evacuation and Crowd Dynamics
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Pedestrian Trajectory Dataset of Public European Squares — Paolo Santi, Titus Venverloo, et al. · Scientific Data (2026) | TGRS Research Map | TGRS