Noise mapping based on participative measurements with a smartphone

Judicaël Picaut 1 Pierre Aumond 1 Arnaud Can 1 Nicolas Fortin 1 Benoit Gauvreau 1 Erwan Bocher 2 Sylvain Palominos 2 Gwendall Petit 3 Gwenael Guillaume 4
2 Lab-STICC_CNRS_CID_DECIDE
Lab-STICC - Laboratoire des sciences et techniques de l'information, de la communication et de la connaissance
3 Lab-STICC_UBS_CID_DECIDE
Lab-STICC - Laboratoire des sciences et techniques de l'information, de la communication et de la connaissance (UMR 3192), Lab-STICC - Laboratoire des sciences et techniques de l'information, de la communication et de la connaissance
Abstract : Because noise is a major pollution leading to non-negligible socio-economical impacts, many national regulations aim at reducing the population noise exposure. Within the context of the European directive 2002/49/EC, a special attention is paid to the evaluation of the existing noise environment. Nowadays, this assessment is addressed based on simulated noise maps, which however present some limitations due to the simplification of noise generation and propagation phenomena. Smartphone participative measurements are alternatively being developed, offering the high temporal and spatial granularities recommended by the EU directive. However, the existing approaches often lack a quantification of the produced noise maps accuracy, and are rarely user-oriented. In this context, within the framework of the EU project ENERGIC-OD, a Spatial Data Infrastructure (SDI “OnoMap”) has been developed to manage smartphones measurements using a dedicated Android application (“NoiseCapture”) and to produce relevant noise maps. In the present communication, this infrastructure is detailed, with a specific attention to the following major key points: data management and qualification from its production to its dissemination, use of standards for data interoperability, optimization of noise measurements, production of 24h noise maps based on measurements distributed over a day, integration of a confidence index on the produced data.
Document type :
Conference papers
Complete list of metadatas

https://halshs.archives-ouvertes.fr/halshs-01565214
Contributor : Erwan Bocher <>
Submitted on : Wednesday, July 19, 2017 - 3:57:11 PM
Last modification on : Monday, February 25, 2019 - 3:14:16 PM

Identifiers

Citation

Judicaël Picaut, Pierre Aumond, Arnaud Can, Nicolas Fortin, Benoit Gauvreau, et al.. Noise mapping based on participative measurements with a smartphone. Acoustics '17 Boston, Acoustical Society of America through AIP Publishing LLC, Jun 2017, Boston, United States. pp.3808, ⟨10.1121/1.4988415⟩. ⟨halshs-01565214⟩

Share

Metrics

Record views

620

Files downloads

100