Next Article in Journal
Hypersensitive Electrochemical Sequential Monitoring of Total IgE and their Effects with Ovalbumin Induced Mice
Previous Article in Journal
Innovative Technologies for District Heating and Cooling: InDeal Project
Open AccessProceedings

Acoustic Conditions Analysis of a Multi-Sensor Network for the Adaptation of the Anomalous Noise Event Detector

GTM—Grup de recerca en Tecnologies Mèdia, La Sall, Universitat Ramon Llull, C/Quatre Camins, 30, 08022 Barcelona, Spain
*
Author to whom correspondence should be addressed.
Presented at the 5th International Electronic Conference on Sensors and Applications, 15–30 November 2018; Available online: https://ecsa-5.sciforum.net.
Proceedings 2019, 4(1), 51; https://doi.org/10.3390/ecsa-5-05738
Published: 15 February 2019
(This article belongs to the Proceedings of International Electronic Conference on Sensors and Applications)
The DYNAMAP project is aimed at implementing a dynamic noise mapping system able to determine the acoustic impact of road infrastructures in real time. It was established as a result of the European Noise Directive 2002/49/EC. A Wireless Acoustic Sensor Network (WASN) is used to collect the measurements in two pilot areas: in the city of Milan (urban) and on the A90 motorway around Rome (suburban). For a proper evaluation of the noise level of the road infrastructures, the anomalous noise events (ANE) unrelated to traffic noise (e.g., sirens, horns, speech, doors, etc.) should be removed before updating the noise maps. For this purpose, an anomalous noise events detector (ANED) was initially designed and trained using data from a real-life recording campaign. In this work, we continue adapting the ANED algorithm to conform to the requirements of the final 25-node hybrid WASN deployed in the suburban environment. Specifically, the study focuses on the analysis of the spectro-temporal characteristics of the acoustic data in real-operation conditions and their differences between the 19 high-capacity nodes in the Rome pilot area in order to adapt the ANED to run on the entire WASN appropriately.
Keywords: road traffic noise; anomalous noise event; monitoring; smartcity; WASN road traffic noise; anomalous noise event; monitoring; smartcity; WASN
MDPI and ACS Style

Socoró, J.C.; Alsina-Pagès, R.M.; Alías, F.; Orga, F. Acoustic Conditions Analysis of a Multi-Sensor Network for the Adaptation of the Anomalous Noise Event Detector. Proceedings 2019, 4, 51.

Show more citation formats Show less citations formats
Note that from the first issue of 2016, MDPI journals use article numbers instead of page numbers. See further details here.

Article Access Map by Country/Region

1
Back to TopTop