TY - JOUR
T1 - Detection of anomalous noise events for real-time road-traflc noise mapping
T2 - The DYNAMAP's project case study
AU - Alías, Francesc
AU - Alsina-Pagès, Rosa Ma
AU - Orga, Ferran
AU - Socoró, Joan Claudi
N1 - Funding Information:
The research presented in this work has been partially supported by the LIFE DYNAMAP project (LIFE13 ENV/IT/001254). Ferran Orga thanks the support of the European Social Fund and the Secre-taria d'Universitats i Recerca del Departament d'Economia i Coneixement of the Catalan Government for the pre-doctoral FI grant No. 2018FI_B100175. This work has been conducted in the framework of recognized as a Consolidated Research Group by the Government of Catalonia (ref 2017 SGR 966).
Funding Information:
Acknowledgement: The research presented in this work has been partially supported by the LIFE DYNAMAP project (LIFE13 ENV/IT/001254). Ferran Orga thanks the support of the European Social Fund and the Secre-taria d’Universitats i Recerca del Departament d’Economia i Coneixement of the Catalan Government for the predoctoral FI grant No. 2018FI_B100175. This work has been conducted in the framework of recognized as a Consolidated Research Group by the Government of Catalonia (ref 2017 SGR 966).
Publisher Copyright:
Open Access. © 2018 F. Alías et al., published by De Gruyter.
PY - 2018/3
Y1 - 2018/3
N2 - Environmental noise is increasing year after year, especially in urban and suburban areas. Besides annoyance, environmental noise also causes harmful health effects on people. The Environmental Noise Directive 2002/49/EC (END) is the main instrument of the European Union to identify and combat noise pollution, followed by the CNOSSOS-EU methodological framework. In compliance with the END legislation, the European Member States are required to publish noise maps and action plans every five years. The emergence of Wireless Acoustic Sensor Networks (WASNs) have changed the paradigm to address the END regulatory requirements, allowing the dynamic ubiquitous measurement of environmental noise pollution. Following the END, the LIFE DYNAMAP project aims to develop a WASN-based low-cost noise mapping system to monitor the acoustic impact of road infrastructures in real time. Those acoustic events unrelated to regular traffic noise should be removed from the equivalent noise level calculations to avoid biasing the noise map generation. This work describes the different approaches developed within the DYNAMAP project to implement an Anomalous Noise Event Detector on the low-cost sensors of the network, considering both synthetic and real-life acoustic data. Moreover, the paper reflects on several open challenges, discussing how to tackle them for the future deployment of WASN-based noise monitoring systems in real-life operating conditions.
AB - Environmental noise is increasing year after year, especially in urban and suburban areas. Besides annoyance, environmental noise also causes harmful health effects on people. The Environmental Noise Directive 2002/49/EC (END) is the main instrument of the European Union to identify and combat noise pollution, followed by the CNOSSOS-EU methodological framework. In compliance with the END legislation, the European Member States are required to publish noise maps and action plans every five years. The emergence of Wireless Acoustic Sensor Networks (WASNs) have changed the paradigm to address the END regulatory requirements, allowing the dynamic ubiquitous measurement of environmental noise pollution. Following the END, the LIFE DYNAMAP project aims to develop a WASN-based low-cost noise mapping system to monitor the acoustic impact of road infrastructures in real time. Those acoustic events unrelated to regular traffic noise should be removed from the equivalent noise level calculations to avoid biasing the noise map generation. This work describes the different approaches developed within the DYNAMAP project to implement an Anomalous Noise Event Detector on the low-cost sensors of the network, considering both synthetic and real-life acoustic data. Moreover, the paper reflects on several open challenges, discussing how to tackle them for the future deployment of WASN-based noise monitoring systems in real-life operating conditions.
KW - Acoustic event detection
KW - Anomalous noise event
KW - Dynamic noise maps
KW - Environmental noise pollution
KW - Equivalent noise level
KW - Feature extraction
KW - Machine learning
KW - Road-traffic noise monitoring
KW - Wireless acoustic sensor network
UR - http://www.scopus.com/inward/record.url?scp=85053386106&partnerID=8YFLogxK
U2 - 10.1515/noise-2018-0006
DO - 10.1515/noise-2018-0006
M3 - Article
AN - SCOPUS:85053386106
SN - 2084-879X
VL - 5
SP - 71
EP - 85
JO - Noise Mapping
JF - Noise Mapping
IS - 1
ER -
