UTD19: Largest Multi-City Traffic Dataset
Catalog Summary
"Largest publicly available multi-city traffic dataset with 23,541 stationary detectors across 40 cities worldwide. Rich source for traffic dynamics research and urban mobility studies."
Catalog Notes
Dataset Magnitude
Unprecedented scale in traffic research. UTD19 represents the most comprehensive traffic monitoring dataset, capturing detailed traffic patterns across diverse global cities and urban contexts.
Coverage
- Number of Detectors: 23,541 stationary sensors
- Cities Covered: 40 major metropolitan areas
- Global Distribution: Multiple continents represented
- Total Data Points: Billions of traffic records
Detector Types
- Induction loop detectors (embedded in roads)
- Video detection systems
- Radar-based sensors
- Infrared sensors
Measured Parameters
- Traffic Volume: Vehicle count per time interval
- Speed: Average vehicle speed (km/h)
- Occupancy: Percentage of road space occupied
- Density: Vehicles per kilometer
- Classification: Vehicle type (car, truck, motorcycle)
Research Applications
Traffic pattern analysis, urban mobility planning, congestion prediction models, traffic management optimization, comparative city analysis, and transportation policy evaluation.
Data Preview
| Timestamp | Detector_ID | City | Road_Segment | Traffic_Volume_vehicles | Average_Speed_kmh | Occupancy_% |
|---|---|---|---|---|---|---|
| 2024-01-15 08:00 | D0001 | Tokyo | Route_101 | 385 | 45.2 | 28.5 |
| 2024-01-15 08:15 | D0001 | Tokyo | Route_101 | 412 | 42.8 | 31.2 |
| 2024-01-15 08:30 | D0002 | New_York | Avenue_5th | 298 | 38.5 | 24.1 |
Showing first few rows for preview
Provided Citation
Loder, A., Ambühl, L., Menendez, M., & Helbing, D. (2019). Understanding traffic capacity of urban networks. Scientific Reports, 9, 16283. https://doi.org/10.1038/s41598-019-51539-5
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Source metadata: External (2026)
Indexed by IoTDataset.com on Jan 13, 2026
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