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Ferran Orga  - - - 
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Francesc Alías

1 shared publications

GTM - Grup de recerca en Tecnologies Mčdia, La Salle - Universitat Ramon Llull, C/Quatre Camins,Barcelona, Spain

Joan Claudi Socoró

1 shared publications

GTM - Grup de recerca en Tecnologies Mčdia, La Salle - Universitat Ramon Llull, C/Quatre Camins,Barcelona, Spain

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Distribution of Articles published per year 

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Publications
Article 0 Reads 0 Citations Detection of Anomalous Noise Events for Real-Time Road-Traffic Noise Mapping: The Dynamap’s project case study Francesc Alías, Rosa Ma Alsina-Pagès, Ferran Orga, Joan Clau... Published: 01 July 2018
Noise Mapping, doi: 10.1515/noise-2018-0006
DOI See at publisher website ABS Show/hide abstract
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.
Article 0 Reads 1 Citation Detection of Anomalous Noise Events on Low-Capacity Acoustic Nodes for Dynamic Road Traffic Noise Mapping within an Hybr... Rosa Alsina-Pagès, Francesc Alías, Joan Socoró, Ferran Orga Published: 20 April 2018
Sensors, doi: 10.3390/s18041272
DOI See at publisher website ABS Show/hide abstract
One of the main aspects affecting the quality of life of people living in urban and suburban areas is the continuous exposure to high road traffic noise (RTN) levels. Nowadays, thanks to Wireless Acoustic Sensor Networks (WASN) noise in Smart Cities has started to be automatically mapped. To obtain a reliable picture of the RTN, those anomalous noise events (ANE) unrelated to road traffic (sirens, horns, people, etc.) should be removed from the noise map computation by means of an Anomalous Noise Event Detector (ANED). In Hybrid WASNs, with master-slave architecture, ANED should be implemented in both high-capacity (Hi-Cap) and low-capacity (Lo-Cap) sensors, following the same principle to obtain consistent results. This work presents an ANED version to run in real-time on μ Controller-based Lo-Cap sensors of a hybrid WASN, discriminating RTN from ANE through their Mel-based spectral energy differences. The experiments, considering 9 h and 8 min of real-life acoustic data from both urban and suburban environments, show the feasibility of the proposal both in terms of computational load and in classification accuracy. Specifically, the ANED Lo-Cap requires around 16 of the computational load of the ANED Hi-Cap, while classification accuracies are slightly lower (around 10%). However, preliminary analyses show that these results could be improved in around 4% in the future by means of considering optimal frequency selection.
Article 0 Reads 1 Citation On the Impact of Anomalous Noise Events on Road Traffic Noise Mapping in Urban and Suburban Environments Ferran Orga, Francesc Alías, Rosa Alsina-Pagès Published: 23 December 2017
International Journal of Environmental Research and Public Health, doi: 10.3390/ijerph15010013
DOI See at publisher website ABS Show/hide abstract
Noise pollution is a critical factor affecting public health, the relationship between road traffic noise (RTN) and several diseases in urban areas being especially disturbing. The Environmental Noise Directive 2002/49/EC and the CNOSSOS-EU framework are the main instruments of the European Union to identify and combat noise pollution, requiring Member States to compose and publish noise maps and noise management action plans every five years. Nowadays, the noise maps are starting to be tailored by means of Wireless Acoustic Sensor Networks (WASN). In order to exclusively monitor the impact of RTN on the well-being of citizens through WASN-based approaches, those noise sources unrelated to RTN denoted as Anomalous Noise Events (ANEs) should be removed from the noise map generation. This paper introduces an analysis methodology considering both Signal-to-Noise Ratio (SNR) and duration of ANEs to evaluate their impact on the A-weighted equivalent RTN level calculation for different integration times. The experiments conducted on 9 h of real-life data from the WASN-based DYNAMAP project show that both individual high-impact events and aggregated medium-impact events bias significantly the equivalent noise levels of the RTN map, making any derived study about public health impact inaccurate.
Article 3 Reads 2 Citations Performance analysis of the low-cost acoustic sensors developed for the DYNAMAP project: A case study in the Milan urban... Francesc Alías, Rosa M. Alsina-Pagès, Joan Claudi Socoró, Fe... Published: 01 May 2017
The Journal of the Acoustical Society of America, doi: 10.1121/1.4988702
DOI See at publisher website
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