Urban Air Quality & Traffic Congestion Fusion
Catalog Summary
"Sensor fusion data correlating urban traffic density with air pollutants (NO2, PM2.5, CO) in major city intersections."
Catalog Notes
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 |
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Cite This Catalog Record
IoTDataset.com (2026). Urban Air Quality & Traffic Congestion Fusion — catalog record. [Dataset]. IoTDataset.com. https://iotdataset.com/data/urban-air-quality-traffic-iot
The publisher's preferred dataset citation is not recorded. The text above cites this IoTDataset.com catalog record, not the underlying dataset.
Catalog publisher: IoTDataset.com (2026)
Indexed by IoTDataset.com on Jan 11, 2026
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