Abstract
"Real-time traffic telemetry from inductive loop sensors on urban highways. Includes vehicle count, speed, and lane occupancy."
Description
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 |
Showing first few rows for preview
Cite This Dataset
External (2026). Urban Traffic Flow & Occupancy (Smart City). [Dataset]. External. https://archive.ics.uci.edu/dataset/204/pems-sf
Select your preferred citation style above. The citation will automatically update and you can copy it to your clipboard.
Original source: External (2026). Visit official page for more details.
Indexed by IoTDataset.com on Jan 14, 2026
Ready to Start Your Research?
Download this dataset directly from the official repository and start building your next breakthrough project.