Abstract
"Sensor fusion data correlating urban traffic density with air pollutants (NO2, PM2.5, CO) in major city intersections."
Description
Description
This dataset integrates IoT sensor readings from air quality stations with real-time traffic camera logs to analyze the impact of vehicle emissions on urban air health.
Data Points
- Pollutants: NO2, O3, PM10
- Traffic: Vehicle Count, Avg Speed
- Location: Madrid Central
Data Preview
| Station_ID | Vehicle_Count | NO2_Level | PM2.5 | Status |
|---|---|---|---|---|
| MAD_01 | 450 | 32.5 | 12.4 | Moderate |
| MAD_02 | 120 | 15.2 | 5.8 | Good |
| MAD_03 | 890 | 55.1 | 24.2 | Poor |
Showing first few rows for preview
Cite This Dataset
External (2026). Urban Air Quality & Traffic Congestion Fusion. [Dataset]. External. https://archive.ics.uci.edu/ml/datasets/Air+Quality
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Original source: External (2026). Visit official page for more details.
Indexed by IoTDataset.com on Jan 11, 2026
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