noise pollution

AI/ML INTEGRATION INTO NOISE POLLUTION MONITORING SYSTEMS FOR RAIL TRANSPORT AND SMART CITIES

Noise pollution is a significant environmental and social problem for rail transport and urban areas. This paper describes an approach to noise monitoring based on the integration of artificial intelligence (AI) and machine learning (ML) into acoustic data collection and analysis systems. The SVAN 958A spectral analyzer was used as the measuring equipment, which allows obtaining accurate noise data in real time.

STUDY OF THE ACOUSTIC ENVIRONMENT OF MODERN MULTIFUNCTIONAL COMPLEXES

This article examines the issue of acoustic comfort and noise pollution within multifunctional residential complexes in Lviv, where public facilities are situated in the ground-level space. The relevance of such a study is confirmed by numerous scientific conclusions that excessive noise exposure negatively affects human health, while this problem remains poorly understood and ignored in Ukraine.

Influence of traffic flow intensity on environmental noise pollution

The modern urban environment, with the development of industry, the growth of the vehicle's number on the roads, and the increase in the density of buildings, is increasingly capable of negatively affect the health and well-being of the city's population. Among the factors influencing the environment is noise pollution, namely man-made noise - unwanted and harmful sounds created as a result of human activities. Today, noise is one of the most common factors of pollution among all others.