Noise mapping based on participative measurements
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 ceasele...
| Main Authors: | , , , , , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
De Gruyter
2016-04-01
|
| Series: | Noise Mapping |
| Subjects: | |
| Online Access: | http://www.degruyter.com/view/j/noise.2016.3.issue-1/noise-2016-0011/noise-2016-0011.xml?format=INT |
| _version_ | 1819228525643694080 |
|---|---|
| author | Guillaume Gwenaël Can Arnaud Petit Gwendall Fortin Nicolas Palominos Sylvain Gauvreau Benoit Bocher Erwan Picaut Judicaël |
| author_facet | Guillaume Gwenaël Can Arnaud Petit Gwendall Fortin Nicolas Palominos Sylvain Gauvreau Benoit Bocher Erwan Picaut Judicaël |
| author_sort | Guillaume Gwenaël |
| collection | DOAJ |
| description | 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. |
| first_indexed | 2024-12-23T10:58:40Z |
| format | Article |
| id | doaj.art-5a22f4ec3b1249cc8f60d73972ff368c |
| institution | Directory Open Access Journal |
| issn | 2084-879X |
| language | English |
| last_indexed | 2024-12-23T10:58:40Z |
| publishDate | 2016-04-01 |
| publisher | De Gruyter |
| record_format | Article |
| series | Noise Mapping |
| spelling | doaj.art-5a22f4ec3b1249cc8f60d73972ff368c2022-12-21T17:49:41ZengDe GruyterNoise Mapping2084-879X2016-04-013110.1515/noise-2016-0011noise-2016-0011Noise mapping based on participative measurementsGuillaume Gwenaël0Can Arnaud1Petit Gwendall2Fortin Nicolas3Palominos Sylvain4Gauvreau Benoit5Bocher Erwan6Picaut Judicaël7IRSTV (Institute for Research on Urban Sciences and Techniques) Nantes cedex 3, FranceIfsttar (French Institute of Science and Technology for Transport, Development and Networks)ECN (École Centrale Nantes)ECN (École Centrale Nantes)ECN (École Centrale Nantes)Ifsttar (French Institute of Science and Technology for Transport, Development and Networks)Lab-STICC (Information and Communication Science and Technology Laboratory)Ifsttar (French Institute of Science and Technology for Transport, Development and Networks)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.http://www.degruyter.com/view/j/noise.2016.3.issue-1/noise-2016-0011/noise-2016-0011.xml?format=INTnoise mapping smartphones participatory measurement outsourced processes citizen sensing |
| spellingShingle | Guillaume Gwenaël Can Arnaud Petit Gwendall Fortin Nicolas Palominos Sylvain Gauvreau Benoit Bocher Erwan Picaut Judicaël Noise mapping based on participative measurements Noise Mapping noise mapping smartphones participatory measurement outsourced processes citizen sensing |
| title | Noise mapping based on participative
measurements |
| title_full | Noise mapping based on participative
measurements |
| title_fullStr | Noise mapping based on participative
measurements |
| title_full_unstemmed | Noise mapping based on participative
measurements |
| title_short | Noise mapping based on participative
measurements |
| title_sort | noise mapping based on participative measurements |
| topic | noise mapping smartphones participatory measurement outsourced processes citizen sensing |
| url | http://www.degruyter.com/view/j/noise.2016.3.issue-1/noise-2016-0011/noise-2016-0011.xml?format=INT |
| work_keys_str_mv | AT guillaumegwenael noisemappingbasedonparticipativemeasurements AT canarnaud noisemappingbasedonparticipativemeasurements AT petitgwendall noisemappingbasedonparticipativemeasurements AT fortinnicolas noisemappingbasedonparticipativemeasurements AT palominossylvain noisemappingbasedonparticipativemeasurements AT gauvreaubenoit noisemappingbasedonparticipativemeasurements AT bochererwan noisemappingbasedonparticipativemeasurements AT picautjudicael noisemappingbasedonparticipativemeasurements |