Impact of Traffic on Noise and Particulate Matter

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The "Modus Sain" research project, conducted by the School of Engineering and Architecture in Freiburg (Switzerland), investigated the impact of traffic on noise and particulate matter. Using sensors installed at fixed locations and on electric buses, data on air quality, traffic, and noise levels were collected.

Sensors and Measurement Methods:

  • At twelve fixed locations throughout the city of Freiburg, sensors for noise and particulate matter were installed.

  • Additionally, three particulate matter sensors were mounted on electric buses, allowing the buses to function as mobile monitoring stations. This approach enabled spatially flexible and comprehensive air quality monitoring.

  • This combination of stationary and mobile sensors provided high measurement accuracy and allowed for data comparison between fixed and moving points.

Results:

  • Traffic volume and particulate matter levels correlate. Particulate matter values more strongly reacted when vehicles with poor filters were involved. Meteorological conditions had a significant impact on particulate matter levels.

  • There was a clear correlation between traffic and noise: more traffic led to more noise. Speed reductions (such as lowering the speed limit to 30 km/h) significantly reduced noise pollution.

The project is expected to be expanded in the future to include additional parameters such as temperature and humidity, alongside noise and particulate matter measurements.

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Devices for urban air quality and climate monitoring:
DL-PM, DL-SHT35, DL-ATM22,
DL-ATM41G2, DL-TBRG, DL-BLG