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Noise Mapping

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Noise mapping based on participative measurements

Gwenaël Guillaume / Arnaud Can / Gwendall Petit / Nicolas Fortin / Sylvain Palominos / Benoit Gauvreau / Erwan Bocher / Judicaël Picaut
Published Online: 2016-04-25 | DOI: https://doi.org/10.1515/noise-2016-0011


The high temporal and spatial granularities recommended by the European regulation for the purpose of environmental noise mapping leads to consider new alternatives to simulations for reaching such information. While more and more European cities deploy urban environmental observatories, the ceaseless rising number of citizens equipped with both a geographical positioning system and environmental sensors through their smartphones legitimates the design of outsourced systems that promote citizen participatory sensing. In this context, the OnoM@p system aims at offering a framework for capitalizing on crowd noise data recorded by inexperienced individuals by means of an especially designed mobile phone application. The system fully rests upon open source tools and interoperability standards defined by the Open Geospatial Consortium. Moreover, the implementation of the Spatial Data Infrastructure principle enables to break up as services the various business modules for acquiring, analysing and mapping sound levels. The proposed architecture rests on outsourced processes able to filter outlier sensors and untrustworthy data, to cross- reference geolocalised noise measurements with both geographical and statistical data in order to provide higherlevel indicators, and to map the collected and processed data based on web services.

Keywords: noise mapping; smartphones; participatory measurement; outsourced processes; citizen sensing


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About the article

Received: 2015-10-16

Accepted: 2016-04-19

Published Online: 2016-04-25

Citation Information: Noise Mapping, Volume 3, Issue 1, ISSN (Online) 2084-879X, DOI: https://doi.org/10.1515/noise-2016-0011.

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©2016 G. Guillaume et al.. This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 3.0 License. BY-NC-ND 3.0

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