TRAINING AN ANOMALOUS NOISE EVENT DETECTION ALGORITHM FOR DYNAMIC ROAD TRAFFIC NOISE MAPPING: ENVIRONMENTAL NOISE RECORDING CAMPAIGN

摘要

The LIFE+ DYNAMAP project aims at creating dynamic road traffic noise maps automaticallyrnupon the levels measured by a low cost sensors network. To ensure these maps reflect thernacoustic impact of road infrastructures, it is necessary to exclude other acoustic sources (e.g.rnaircrafts, industries, etc.) from the noise level computation. To that end, an anomalous noise eventrndetection algorithm based on supervised learning techniques is designed. This paper describesrnthe recording campaign conducted in the two pilot areas of the DYNAMAP project in Rome andrnMilan, aimed at collecting road traffic and anomalous noise event samples to train the algorithm.