Urban Traffic Flow & Occupancy (Smart City)
Catalog Summary
"Real-time traffic telemetry from inductive loop sensors on urban highways. Includes vehicle count, speed, and lane occupancy."
Catalog Notes
Smart Mobility Concept
By analyzing traffic density, city planners can synchronize traffic lights and reduce congestion-induced CO2 emissions. This dataset provides the raw flow data for such urban optimizations.
Key Features
- Flow: Number of vehicles per 5-minute interval.
- Occupancy: Percentage of time a vehicle is over the sensor.
- Speed: Average lane speed (km/h).
Data Preview
| Sensor_ID | Flow_vph | Occupancy_% | Avg_Speed |
|---|---|---|---|
| 716001 | 450 | 12.5 | 105 km/h |
| 716002 | 420 | 11.8 | 102 km/h |
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Provided Citation
Cuturi, M. (2011). PEMS-SF [Dataset]. UCI Machine Learning Repository. https://doi.org/10.24432/C52G70.
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Source metadata: External (2026)
Indexed by IoTDataset.com on Jan 14, 2026
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