Open AccessTemporal correlations in an urban noise monitoring network
Author(s) -
R. Benocci,
H. Eduardo Roman,
Chiara Confalonieri,
Giovanni Zambon
Publication year - 2020
Publication title -
journal of physics. conference series
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.21
H-Index - 85
eISSN - 1742-6596
pISSN - 1742-6588
DOI - 10.1088/1742-6596/1603/1/012028
Subject(s) - noise (video) , sampling (signal processing) , uncorrelated , computer science , traffic noise , urban area , real time computing , geography , telecommunications , artificial intelligence , statistics , noise reduction , image (mathematics) , mathematics , detector , economy , economics
DYNAMAP, a European Life project, provides a real-time image of the noise generated by vehicular traffic in urban and suburban areas, developing a dynamic acoustic map based on a limited number of low-cost permanent noise monitoring stations. Traffic noise data within a urban pilot area (Area 9 of Milan), collected by 24 monitoring sensors, are used to build-up a “real time” noise map. DYNAMAP is based on a statistical approach implying that information captured by each sensor must be representative of an extended area, and simultaneously uncorrelated from that of other stations. The study of the correlations among the sensors represents a further contribution in refining the sampling network design.