scholarly journals Detecting Anomalous Noise Events on Low-Capacity Acoustic Sensor in Dynamic Road Traffic Noise Mapping

Proceedings ◽  
2018 ◽  
Vol 2 (3) ◽  
pp. 136 ◽  
Author(s):  
Rosa Alsina-Pagès ◽  
Joan Socoró ◽  
Francesc Alías
Keyword(s):  
Road Traffic ◽  
Traffic Noise ◽  
Road Traffic Noise ◽  
Acoustic Sensor ◽  
Noise Mapping

scholarly journals Characterization of a WASN-Based Urban Acoustic Dataset for the Dynamic Mapping of Road Traffic Noise

Proceedings ◽  
2020 ◽  
Vol 42 (1) ◽  
pp. 60 ◽  
Author(s):  
Francesc Alías ◽  
Joan Claudi Socoró ◽  
Ferran Orga ◽  
Rosa Ma Alsina-Pagès
Keyword(s):  
Sensor Networks ◽  
Road Traffic ◽  
Traffic Noise ◽  
Road Traffic Noise ◽  
Acoustic Sensor ◽  
Noise Mapping ◽  
Acoustic Environment ◽  
Operation Conditions ◽  
Dynamic Mapping ◽  
Acoustic Sensor Networks

Road Traffic Noise (RTN) is one of the main pollutants in urban and suburban areas, negatively affecting the quality of life of their inhabitants. In the context of the European LIFE DYNAMAP project, two Wireless Acoustic Sensor Networks (WASN) have been deployed to monitor RTN: one in District 9 of Milan, and another along the A90 motorway of Rome. Since the dynamic mapping system should be able to identify and remove those Anomalous Noise Events (ANEs) unrelated to regular road traffic (e.g., sirens, horns, speech, and doors), an Anomalous Noise Event Detector (ANED) has been included in the dynamic noise mapping pipeline to avoid biasing the computation of the equivalent RTN levels. After deploying the 24 low-cost acoustic sensor networks in both pilot areas, WASN-based acoustic datasets were built to adapt the previous version of the ANED algorithm to run in real-operation conditions. In this work, we describe the preliminary results of the analysis of the 154 h WASN-based urban acoustic dataset obtained from the Milan city in terms of the main characteristics of ANEs. The results confirm the unbalanced nature of the problem (83.7% of the data corresponds to RTN), showing the urban WASN-based dataset a larger number of ANEs with higher local predominance than what was observed in the previous expert-based recording campaign, which underlines the importance of the accurate modeling of the urban acoustic environment to train the ANED properly.

Road traffic noise disease burden estimates for a model study of varying urban morphology cases

2021 ◽  
Vol 263 (3) ◽  
pp. 3282-3293
Author(s):  
Jens Forssén ◽  
Andreas Gustafson ◽  
Meta Berghauser Pont ◽  
Marie Haeger-Eugensson ◽  
Christine Achberger ◽  
...  
Keyword(s):  
Disease Burden ◽  
Noise Exposure ◽  
Road Traffic ◽  
Traffic Noise ◽  
Urban Morphology ◽  
Urban Setting ◽  
Road Traffic Noise ◽  
Noise Mapping ◽  
Direct Exposure ◽  
Life Years

For a model set of 31 different building morphologies in an urban setting, road traffic noise exposure has been calculated and analysed. For five of the building morphologies also vegetation surfaces on facades and roofs were studied. Facade exposures were analysed for both smaller (single-sided) flats and larger (floor-through) flats, considering the direct exposure from the roads as well as the non-direct exposure at noise-shielded positions like inner yards, applying a noise mapping software in combination with a prediction model for the non-direct exposure. Using noise indicators Lden and Lnight, the disease burden, in terms of DALY (Disability-Adjusted Life Years) per person, was estimated and analysed, via predictions of annoyance and sleep disturbance. The resulting effects of varying the building morphology and adding vegetation are shown and discussed, including effects of a bonus model for flats having additional facade elements with lower noise exposure.

scholarly journals Detection of Anomalous Noise Events on Low-Capacity Acoustic Nodes for Dynamic Road Traffic Noise Mapping within an Hybrid WASN

Sensors ◽  
2018 ◽  
Vol 18 (4) ◽  
pp. 1272 ◽  
Author(s):  
Rosa Alsina-Pagès ◽  
Francesc Alías ◽  
Joan Socoró ◽  
Ferran Orga
Keyword(s):  
Road Traffic ◽  
Traffic Noise ◽  
Road Traffic Noise ◽  
Noise Mapping

scholarly journals A Review on GIS-Based Approach for Road Traffic Noise Mapping

2019 ◽  
Vol 14 (12) ◽  
pp. 1-6
Author(s):  
Dipeshkumar R. Sonaviya ◽  
Bhaven N. Tandel ◽  
◽  
Keyword(s):  
Road Traffic ◽  
Traffic Noise ◽  
Road Traffic Noise ◽  
Noise Mapping

GPS-based speed collection method for road traffic noise mapping

2009 ◽  
Vol 14 (5) ◽  
pp. 360-366 ◽  
Author(s):  
C. Asensio ◽  
J.M. López ◽  
R. Pagán ◽  
I. Pavón ◽  
M. Ausejo
Keyword(s):  
Road Traffic ◽  
Traffic Noise ◽  
Road Traffic Noise ◽  
Noise Mapping ◽  
Collection Method

Road traffic noise mapping in Guangzhou using GIS and GPS

2015 ◽  
Vol 87 ◽  
pp. 94-102 ◽  
Author(s):  
Ming Cai ◽  
Jingfang Zou ◽  
Jiemin Xie ◽  
Xialin Ma
Keyword(s):  
Road Traffic ◽  
Traffic Noise ◽  
Road Traffic Noise ◽  
Noise Mapping

scholarly journals REVIEW ON THE ROAD TRAFFIC NOISE ASSESSMENT

2016 ◽  
Vol 22 (1) ◽  
Author(s):  
PETROVICI ALINA ◽  
TOMOZEI CLAUDIA ◽  
NEDEFF FLORIN ◽  
IRIMIA OANA ◽  
PANAINTE-LEHADUS MIRELA
Keyword(s):  
Urban Areas ◽  
Road Traffic ◽  
Traffic Noise ◽  
Legal Aspects ◽  
Urban Traffic ◽  
Road Traffic Noise ◽  
Action Plans ◽  
Noise Mapping ◽  
The Road ◽  
On The Road

<p>This paper presents a synthesis of current state of the assessment of road traffic noise in urban areas considering economic, social and legal aspects. Therefore, there were described several prediction methods of the urban traffic noise. These methods are useful in calculating the exposure of the population at noise levels which exceed the permissible limits. Mapping is one of the most common methods used for the assessment of noise. Whether it is industrial, airport, rail or road traffic noise, noise mapping provides accurate data needed later in developing action plans against noise. The road traffic noise assessments are performed periodically, and a representative picture of the noise in the analysed areas is obtained. Then, the action plans can be developed in order to reduce road traffic noise, where it is necessary.</p>

scholarly journals A WASN-Based Suburban Dataset for Anomalous Noise Event Detection on Dynamic Road-Traffic Noise Mapping

Sensors ◽  
2019 ◽  
Vol 19 (11) ◽  
pp. 2480 ◽  
Author(s):  
Rosa Ma Alsina-Pagès ◽  
Ferran Orga ◽  
Francesc Alías ◽  
Joan Claudi Socoró
Keyword(s):  
Road Traffic ◽  
Signal To Noise Ratio ◽  
Traffic Noise ◽  
Road Traffic Noise ◽  
Noise Mapping ◽  
Suburban Areas ◽  
Technological Advances ◽  
Audio Data ◽  
The City ◽  
Clear Predominance

Traffic noise is presently considered one of the main pollutants in urban and suburban areas. Several recent technological advances have allowed a step forward in the dynamic computation of road-traffic noise levels by means of a Wireless Acoustic Sensor Network (WASN) through the collection of measurements in real-operation environments. In the framework of the LIFE DYNAMAP project, two WASNs have been deployed in two pilot areas: one in the city of Milan, as an urban environment, and another around the city of Rome in a suburban location. For a correct evaluation of the noise level generated by road infrastructures, all Anomalous Noise Events (ANE) unrelated to regular road-traffic noise (e.g., sirens, horns, speech, etc.) should be removed before updating corresponding noise maps. This work presents the production and analysis of a real-operation environmental audio database collected through the 19-node WASN of a suburban area. A total of 156 h and 20 min of labeled audio data has been obtained differentiating among road-traffic noise and ANEs (classified in 16 subcategories). After delimiting their boundaries manually, the acoustic salience of the ANE samples is automatically computed as a contextual Signal-to-Noise Ratio (SNR) together with its impact on the A-weighted equivalent level ( Δ L A e q ). The analysis of the real-operation WASN-based environmental database is evaluated with these metrics, and we conclude that the 19 locations of the network present substantial differences in the occurrences of the subcategories of ANE, with a clear predominance of the noise of sirens, trains, and thunder.

scholarly journals Noise Annoyance in Urban Life: The Citizen as a Key Point of the Directives

Proceedings ◽  
2018 ◽  
Vol 6 (1) ◽  
pp. 1 ◽  
Author(s):  
Alexandra Labairu-Trenchs ◽  
Rosa Alsina-Pagès ◽  
Ferran Orga ◽  
Maria Foraster
Keyword(s):  
Sensor Network ◽  
Road Traffic ◽  
Low Cost ◽  
Traffic Noise ◽  
Urban Life ◽  
Road Traffic Noise ◽  
Acoustic Sensor ◽  
Urban Noise ◽  
Selection Of

The improvement of the quality of life in the framework of the smart city paradigm cannot be limited to measuring objective environmental factors, but should also consider the assessment of the citizens’ health. Road traffic noise has been widely studied in terms of citizens’ annoyance and its impact on health, but other types of urban noise are usually outside of those analyses. Each node of a wireless acoustic sensor network can pick up street noise and can even record specific sounds that reach a higher equivalent level for study, but the most important thing for administration is whether certain types of noise annoy the citizen. In this work, we present the analysis and the selection of several audio samples collected by a wireless acoustic sensor network in an urban environment in order to conduct perceptive tests by several users. This a first approximation to the evaluation of the real perception of citizens’ annoyance with respect to the urban noise collected by a low-cost wireless acoustic sensor network.

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