Skip to Main content Skip to Navigation
Journal articles

Noise mapping based on participative measurements

Abstract : 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 higher level indicators, and to map the collected and processed data based on web services.
Document type :
Journal articles
Complete list of metadata

Cited literature [69 references]  Display  Hide  Download
Contributor : Ifsttar Cadic Connect in order to contact the contributor
Submitted on : Monday, June 27, 2016 - 10:15:28 AM
Last modification on : Wednesday, October 27, 2021 - 12:51:23 PM
Long-term archiving on: : Wednesday, September 28, 2016 - 11:23:32 AM


Publisher files allowed on an open archive




Gwenaël Guillaume, Arnaud Can, Gwendall Petit, Nicolas Fortin, Sylvain Palominos, et al.. Noise mapping based on participative measurements. Noise Mapping, 2016, 3 (1), pp.140-156. ⟨10.1515/noise-2016-0011⟩. ⟨hal-01337542⟩



Record views


Files downloads