pNEUMA: Large-Scale Naturalistic Trajectories Dataset
Catalog Summary
"pNEUMA is a large-scale dataset of naturalistic vehicle trajectories from half a million vehicles in Athens, Greece, collected via a swarm of drones for traffic congestion research."
Catalog Notes
Next-Generation Traffic Monitoring
pNEUMA is a first-of-its-kind experiment using a swarm of drones to capture the Naturalistic Trajectories of vehicles in the congested downtown area of Athens.
Dataset Scale and Detail
- Vehicle Coverage: Data from approximately 500,000 vehicles, an order of magnitude higher than previous datasets.
- High Precision: Naturalistic trajectories at a resolution impossible with traditional stationary sensors.
- Multidisciplinary: Useful for transportation engineering, urban planning, and autonomous vehicle simulation.
Research Vision
Aims to promote open traffic data for tackling congestion and establishing drones as a viable alternative for high-accuracy traffic monitoring.
View Data Structure
To explore column names, data types, and sample rows, visit the official dataset page on EPFL.
Preview on EPFLCite This Dataset
The dataset creators ask users of this dataset to cite the accompanying paper. Use one of the verified formats below.
Barmpounakis, E., & Geroliminis, N. (2020). pNEUMA: A first-of-its-kind experiment of naturalistic trajectories. Transportation Research Part C. https://open-traffic.epfl.ch/
Source metadata: EPFL (2020)
Indexed by IoTDataset.com on Feb 15, 2026
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