NoiseModelling v4.0 User Guide
Welcome on the official NoiseModelling v4.0 User Guide.
NoiseModelling is a library capable of producing noise maps. It can be freely used either for research and education, as well as by experts in a professional use.
A general overview of the model (v3.4.5 - September 2020) can be found in this video.
for more information on NoiseModelling, visit the offical NoiseModelling website
to contribute to NoiseModelling source code, follow the “Get Started” page
- to contact the support / development team,
open an issue or a write a message (we prefer these two options)
send us an email at contact@noise-planet.org
What’s new with the V4.0?
Since the release v4.0, NoiseModelling implements the CNOSSOS-EU standard method for the noise emission (road and rail (for France)) and with noise propagation (read “Numerical Model” and “Validation” pages for more information).
Optimizations
Packaging
On the NoiseModelling latest release page, three packages of NoiseModelling are proposed:
NoiseModelling_4.0.0.zip
: cross-platform version, with GUI (Graphic User Interface)NoiseModelling_4.0.0_install.exe
: windows installer, with GUINoiseModelling_4.0.0_without_gui.zip
: version without GUI. Usefull to run NoiseModelling using command lines (read “Pilot NoiseModelling with scripts” page for more info)
Licence
NoiseModelling and its documentation are distributed for free under GPL v3 License.
Publications
NoiseModelling was initially developed in a research context, which has led to numerous scientific publications. For more information, have a look to “Scientific production” page. To quote this tool, please use the bibliographic reference below:
Note
Erwan Bocher, Gwenaël Guillaume, Judicaël Picaut, Gwendall Petit, Nicolas Fortin. NoiseModelling: An Open Source GIS Based Tool to Produce Environmental Noise Maps. ISPRS International Journal of Geo-Information, MDPI, 2019, 8 (3), pp.130. (10.3390/ijgi8030130)
Fundings
Research projects:
ANR Eval-PDU (ANR-08-VILL-0005) 2008-2011
ANR VegDUD (ANR-09-VILL-0007) 2009-2014
ANR CENSE (ANR-16-CE22-0012) 2017-2021
Nature4cities (N4C) project, funded by European Union’s Horizon 2020 research and innovation programme under grant agreement N°730468
PlaMADE 2020-2022
Institutional (public) fundings:
Université Gustave Eiffel (formerly Ifsttar, formerly LCPC), CNRS, Cerema, Université Bretagne Sud, Ecole Centrale de Nantes
Private fundings:
Airbus Urban Mobility
Warning
The official documentation is available in English only
Some illustrations may refer to previous versions of NoiseModelling
If you observe some mistakes or errors, please open an issue here or contact us at contact@noise-planet.org
You are also welcome to contribute to the documentation (click on “Edit on Github” - top of the page)