Data-driven analysis of transport and weather impact on urban air quality


  • Bálint Csonka Department of Transport Technology and Economics, Faculty of Transportation Engineering and Vehicle Engineering, Budapest University of Technology and Economics Műegyetem rkp. 3., H-1111 Budapest, Hungary



air quality, urban, traffic, weather, sustainability


Many cities face low air quality. To better predict the exceedance of air quality limits, the traffic’s contribution to air pollution was analysed in this paper. Several studies used a twin site approach to determine the impact of urban traffic; however, it requires the deployment of stations at various locations. A time variant analysis to determine traffic’s contribution and regression analysis were applied to determine the weather’s impact. The results were validated using actual traffic data. It was found that the traffic’s contributions to CO and NO2 were 22 and 30%. It was noted that the seasonal fluctuation of NO2 is significantly influenced by precipitation. Long-term trends of pollutants require further research.


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How to Cite

Csonka, B. (2023). Data-driven analysis of transport and weather impact on urban air quality. Acta Technica Jaurinensis, 16(3), 99–106.



Research articles