Use of computer vision in assessment of air quality in city transportation system

Segey A. Prohanov; Andrey A. Bart; Alexander Z. Fazliev; Alexander V. Starchenko

doi:10.1117/12.2603497

15 December 2021 Use of computer vision in assessment of air quality in city transportation system

Segey A. Prohanov, Andrey A. Bart, Alexander Z. Fazliev, Alexander V. Starchenko

Proceedings Volume 11916, 27th International Symposium on Atmospheric and Ocean Optics, Atmospheric Physics; 119168T (2021) https://doi.org/10.1117/12.2603497
Event: 27th International Symposium on Atmospheric and Ocean Optics, Atmospheric Physics, 2021, Moscow, Russian Federation

Abstract

An approach to the formation of a description of the city's transport system is considered in order to identify the most polluted road spans with vehicle exhaust gases. The quantitative characteristics of pollution are determined in accordance with the standard Russian GOST R 56162-2019. When estimating emissions from road transport, information presented on the web in graphical form about traffic jam is used. In addition, the information on the number of cars, average speed and type of transport obtained by analyzing the video stream from web cameras by the YOLO neural network (version 4) is also used. The binding of pollution results to the transport system is formalized using the transport system ontology. The results can be used in dynamic models of pollution in urbanized areas.

Citation Download Citation

Segey A. Prohanov, Andrey A. Bart, Alexander Z. Fazliev, and Alexander V. Starchenko "Use of computer vision in assessment of air quality in city transportation system", Proc. SPIE 11916, 27th International Symposium on Atmospheric and Ocean Optics, Atmospheric Physics, 119168T (15 December 2021); https://doi.org/10.1117/12.2603497

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