TY - CONF
T1 - Real-time urban traffic noise maps
T2 - 46th International Congress and Exposition on Noise Control Engineering: Taming Noise and Moving Quiet, INTER-NOISE 2017
AU - Zambon, Giovanni
AU - Benocci, Roberto
AU - Orga, Ferran
AU - Alsina-Pagès, Rosa Maria
AU - Alías, Francesc
AU - Socoró, Joan Claudi
N1 - Funding Information:
This research has been partially funded by the European Commission under project LIFE13 ENV/IT/001254 DYNAMAP. The Grup de recerca en Tecnologies Mèdia would like to thank the Secretaria d'Universitats i Recerca del Departament d'Economia i Coneixement (Generalitat de Catalunya) under grant ref. 2014-SGR-0590. Ferran Orga thanks the support of the European Social Fund and the Secretaria d'Universitats i Recerca del Departament d'Economia i Coneixement of the Catalan Government for the pre-doctoral FI grant No. 2017FI-B00243.
Publisher Copyright:
© 2017 Institute of Noise Control Engineering. All rights reserved.
PY - 2017
Y1 - 2017
N2 - The DYNAMAP project is expected to provide the traffic noise mapping of the city of Milan with an updating interval down to 5 minutes, thanks to a network of real-time noise monitoring stations. As the noise displayed by the maps should be exclusively attributed to the traffic noise, the recorded data need to be analyzed before the map updating process in order to exclude the presence of possible non-traffic events (e.g. sirens, horns, speech, doors, aircrafts,⋯), which are denoted as Anomalous Noise Events (ANE). To that effect, an Anomalous Noise Event Detection algorithm (ANED) has been designed and adjusted to deal with the identification of ANE within the Milan pilot area, where the mapping system is expected to be in operation in 2017. In this work, we present a comparative analysis of the ANE identification and classification considering the output of the ANED and the results obtained from the manual recognition of ANE by skilled personnel. The comparative takes into account the typology and duration of ANE (with their noise level distribution). In addition, their influence on the measured Leq,5min levels is evaluated for both methods by statistically analyzing the differences between the processed (without ANE) and non-processed (with ANE) Leq,5min.
AB - The DYNAMAP project is expected to provide the traffic noise mapping of the city of Milan with an updating interval down to 5 minutes, thanks to a network of real-time noise monitoring stations. As the noise displayed by the maps should be exclusively attributed to the traffic noise, the recorded data need to be analyzed before the map updating process in order to exclude the presence of possible non-traffic events (e.g. sirens, horns, speech, doors, aircrafts,⋯), which are denoted as Anomalous Noise Events (ANE). To that effect, an Anomalous Noise Event Detection algorithm (ANED) has been designed and adjusted to deal with the identification of ANE within the Milan pilot area, where the mapping system is expected to be in operation in 2017. In this work, we present a comparative analysis of the ANE identification and classification considering the output of the ANED and the results obtained from the manual recognition of ANE by skilled personnel. The comparative takes into account the typology and duration of ANE (with their noise level distribution). In addition, their influence on the measured Leq,5min levels is evaluated for both methods by statistically analyzing the differences between the processed (without ANE) and non-processed (with ANE) Leq,5min.
KW - Acoustic maps
KW - Anomalous noise events
KW - Oise
KW - Traffic
UR - http://www.scopus.com/inward/record.url?scp=85041815695&partnerID=8YFLogxK
M3 - Contribution
AN - SCOPUS:85041815695
Y2 - 27 August 2017 through 30 August 2017
ER -