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)
Judicaël Picaut
- Fonction : Auteur
- PersonId : 1806
- IdHAL : judicael-picaut
- ORCID : 0000-0002-0586-2414
- IdRef : 102528446
Pierre Aumond
- Fonction : Auteur
- PersonId : 19866
- IdHAL : pierre-aumond
- ORCID : 0000-0001-8834-4251
- IdRef : 164825436
Erwan Bocher
- Fonction : Auteur
- PersonId : 1577
- IdHAL : erwan-bocher
- ORCID : 0000-0002-4936-7079
- IdRef : 095751548
Sylvain Palominos
- Fonction : Auteur
- PersonId : 18614
- IdHAL : sylvain-palominos
- IdRef : 253131022
Gwendall Petit
- Fonction : Auteur
- PersonId : 1620
- IdHAL : gwendall-petit
- ORCID : 0000-0002-4750-9600
- IdRef : 253123194
Gwenael Guillaume
- Fonction : Auteur
- PersonId : 1624
- IdHAL : gwenael-guillaume
- ORCID : 0000-0002-0582-6827
- IdRef : 14379650X
Résumé
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.
Domaines
GéographieFormat du dépôt | Annexe |
---|---|
Type de dépôt | Communication dans un congrès |
Résumé |
en
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.
|
Titre |
en
Noise mapping based on participative measurements with a smartphone
|
Auteur(s) |
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
1
IFSTTAR/AME/LAE -
Laboratoire d'Acoustique Environnementale
( 221977 )
- Centre de Nantes Route de Bouaye - BP 4129 44341 Bouguenais Cedex
- France
2
Lab-STICC_CNRS_CID_DECIDE
( 530909 )
- UMR 6285
IMT Atlantique
CS 83818
29238 BREST CEDEX 3
- France
3
Lab-STICC_UBS_CID_DECIDE
( 392127 )
- France
4
UMRAE -
Unité Mixte de Recherche en Acoustique Environnementale
( 520161 )
- 11 rue Jean Mentelin - 67035 STRASBOURG Cedex 2
- France
|
Pays |
États-Unis
|
URL du congrès ou éditeur |
http://acousticalsociety.org/content/acoustics-17-boston
|
Ville |
Boston
|
Date fin congrès |
2017-06-29
|
Comité de lecture |
Oui
|
Invité |
Non
|
Audience |
Internationale
|
Actes |
Oui
|
Date de publication |
2017-05-02
|
Titre de la collection |
The Journal of the Acoustical Society of America
|
Volume |
141
|
Numéro |
5
|
Page/Identifiant |
3808
|
Titre du congrès |
Acoustics '17 Boston
|
Date début congrès |
2017-06-25
|
Vulgarisation |
Non
|
Date de production/écriture |
2017-05-02
|
Langue du document |
Anglais
|
Éditeur commercial |
|
Organisateur du congrès |
|
Domaine(s) |
|
Projet(s) ANR |
|
Mots-clés |
en
Interoperability, Time measurement, Noise propagation, Environmental noise, Acoustic noise generation
|
DOI | 10.1121/1.4988415 |
Origine :
Fichiers produits par l'(les) auteur(s)
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