Highly accurate and autonomous programmable platform for providing air pollution data services to drivers and the public – Polish case study

Nitrogen dioxide (NO 2 ) is a well-known air pollutant, mostly elevated by car traffic in cities. To date, small, reliable, cost-efficient multipollutant sensors with sufficient power and accuracy for community-based atmospheric studies are still lacking. The HAPADS (highly accurate and autonomous programmable platforms for providing air pollution data services) platforms, developed and tested in real conditions, can be a possible approach to solving this issue. The developed HAPADS platforms are equipped with three different NO 2 sensors (7E4-NO2-5, SGX-7NO2, MICS-2711 MOS) and a combined ambient air temperature, humidity, and pressure sensor (BME280). The platforms were tested during the driving test, which was conducted across various roads, including highways, expressways, and national and regional routes, as well as major cities and the countryside, to analyse the environmental conditions as much as possible (Poland, 2024). The correlation coefficient r was more than 0.8, and RMSE (root mean squared error) was in the 3.3-4.3 μg/m 3 range during the calibration process. The results obtained during the driving tests showed R 2 of 0.9-1.0, which proves the ability of HAPADS platforms to work in the hard environmental conditions (including high rain and snow, as well as sun and a wide range of temperatures and humidity). • The developed HAPADS platform offers real-time NO 2 monitoring on the roads • NO2 measurements were conducted during the drive test on more than 5000 km • The ML algorithms enable enhanced detection of NO 2 verified in the driving test • The corr. coeff. r=0.896 and RMSE=3.3 μg/m 3 was achieved in the driving test • The low-cost, highly accurate, and programmable platform was developed and verified