Dynamic noise mapping of road traffic in an urban city

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.

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Road traffic noise mapping in the Federal University of Santa Maria, Brazil

The Journal of the Acoustical Society of America ◽

10.1121/1.4933454 ◽

2015 ◽

Vol 138 (3) ◽

pp. 1732-1732 ◽

Cited By ~ 2

Author(s):

Olmiro C. de Souza Neto ◽

Stephan Paul

Keyword(s):

Road Traffic ◽

Traffic Noise ◽

Road Traffic Noise ◽

Noise Mapping ◽

Santa Maria

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Soundscape approach integrating noise mapping techniques: a case study in Brighton, UK

Noise Mapping ◽

10.1515/noise-2015-0001 ◽

2015 ◽

Vol 2 (1) ◽

Cited By ~ 19

Author(s):

Francesco Aletta ◽

Jian Kang

Keyword(s):

Road Traffic ◽

Environmental Noise ◽

Sound Level ◽

Road Traffic Noise ◽

Sound Sources ◽

Noise Mapping ◽

Acoustic Environment ◽

Sound Environment ◽

Sound Maps

AbstractIn the guidelines about the management of areas of good environmental noise quality recently published by the European Environment Agency (EEA) it is suggested to combine different methodologies, like noise mapping, sound level measurements and the soundscape approach. Such a recommendation has started to be recognised by a number of local authorities in Europe that are gradually integrating a holistic concept into their environmental noise policies. This research aimed to explore and demonstrate the possibility to integrate conventional noise mapping methods and soundscape methods in an actual urban redevelopment project. A case study was made using the Valley Gardens project in Brighton & Hove (UK). Different scenarios of sound-pressure level distributionswere simulated for both traffic sound sources (i.e. noise maps) and natural sound sources (i.e. sound maps). Additionally, individual responses about the sound environment of the place collected during an on-site question survey were used to implement soundscape maps.The overall picture revealed that the road traffic noise should be reduced, but also it is feasible that preferred sounds likewater features or birdsong could be introduced to make the sound environment more appropriate for the place. Generally, within the framework of this research, noise maps, sound maps and soundscape maps were used together to "triangulate" different layers of information related to the acoustic environment and the way it is perceived, providing a possible working procedure to consider for planners and policy-makers in the future.

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NoiseModelling: An Open Source GIS Based Tool to Produce Environmental Noise Maps

10.20944/preprints201902.0087.v1 ◽

2019 ◽

Cited By ~ 1

Author(s):

Erwan Bocher ◽

Gwenaël Guillaume ◽

Judicaël Picaut ◽

Gwendall Petit ◽

Nicolas Fortin

Keyword(s):

Open Source ◽

Input Data ◽

Noise Exposure ◽

Road Traffic ◽

Transportation Network ◽

Environmental Noise ◽

Noise Model ◽

Population Exposure ◽

Noise Mapping ◽

The Impact

The urbanisation phenomenon and related cities expansion and transport networks entail preventing the increase of population exposed to environmental pollution. Regarding noise exposure, the Environmental Noise Directive demands on main metropolis to produce noise maps. While based on standard methods, these latter are usually generated by proprietary software and require numerous input data concerning, for example, the buildings, land use, transportation network and traffic. The present work describes an open source implementation of a noise mapping tool fully implemented in a Geographic Information System compliant with the Open Geospatial Consortium standards. This integration makes easier at once the formatting and harvesting of noise model input data, cartographic rendering and output data linkage with population data. An application is given for a French city, which consists in estimating the impact of road traffic-related scenarios in terms of population exposure to noise levels both in relation to a threshold value and level classes.

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

Proceedings ◽

10.3390/ecsa-6-06637 ◽

2020 ◽

Vol 42 (1) ◽

pp. 60 ◽

Cited By ~ 1

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.

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