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A scientific library for traffic-to-noise sources evaluation and sound propagation processing.

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CI License: GPL v3 Documentation Status GitHub release

NoiseModelling

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.

Stable release

The current stable version is v4.0.0 (see latest release page)

Documentation

An online documentation is available here.

Authors

NoiseModelling project is leaded by acousticians from the Joint Research Unit in Environmental Acoustics (UMRAE, Université Gustave Eiffel - Cerema) and Geographic Information Science specialists from Lab-STICC laboratory (CNRS - DECIDE Team).

The NoiseModelling team owns the majority of the authorship of this application, but any external contributions are warmly welcomed.

Licence

NoiseModelling and its documentation are distributed for free under GPL v3.

Publications

NoiseModelling was initially developed in a research context, which has led to numerous scientific publications. For more information, have a look to the "Scientific production" page.

To quote this tool, please use the following bibliographic reference: 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 Veg-DUD (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 No 730468
  • PlaMADE 2020-2022

Institutional (public) fundings:

Private fundings:

  • Airbus Urban Mobility

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A scientific library for traffic-to-noise sources evaluation and sound propagation processing.

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