Smart City Gnosys

Smart city article details

Title	A High-Density Digital Environmental Monitoring System For Vehicle Emissions
ID_Doc	2076
Authors	Shepelev V.; Vorobyev A.; Kurmanov A.
Year	2024
Published	RusAutoCon - Proceedings of the International Russian Automation Conference, 2024
DOI	http://dx.doi.org/10.1109/RusAutoCon61949.2024.10694330
Abstract	Air quality is a critical issue for populations living in large cities with developed transportation infrastructures. Transport makes a significant contribution to air pollution, and in the era of rapid technological development, the application of intelligent transportation systems, and the advancement of smart cities, the problem of air quality remains acute. Oversaturated traffic flows are difficult to describe using mathematical models and apply effective management strategies. However, models based on the use of artificial neural networks can provide a solution. This paper proposes a strategy for air quality monitoring using a deeply trained neural network, which takes into account real-time parameters of traffic flow and meteorological conditions. This strategy has been successfully implemented in the city of Chelyabinsk, and the calculated data is correlated with data obtained from mobile laboratories at four stations located on one of the central streets of the city. © 2024 IEEE.
Author Keywords	emissions of harmful substances; intelligent transport systems; mathematical model; monitoring

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