Neural Network and Sensors to Map Noise in Moscow’s Gorky Park
Specialists plan to build a detailed sound map of one of the capital’s busiest public spaces
A long-term noise monitoring system powered by artificial intelligence is set to be tested in Gorky Park. Five high-tech sensors will continuously and autonomously analyze the park’s acoustic environment.
The park’s press service said the team has completed the main stage of acoustic data labeling and neural network training. The system can independently analyze a wide range of sounds across the park and has been trained to recognize and classify them by source.
Smarter Zoning and Urban Comfort
The collected data will be used to assess the acoustic environment based on sound intensity, duration, frequency, and type across the park. By distinguishing between beneficial and harmful sounds, specialists will be able to evaluate conditions and improve how different areas of the park are zoned.
The next phase of the project involves automating environmental comfort assessments using data from monitoring points and generating analytical reports. The project will result in a detailed noise map of Gorky Park, aimed at optimizing the sound environment, improving visitor comfort, and refining approaches to urban space management.
