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

• H2 and H2GIS versions have been upgraded (respectively to v2.0.202 and v2.0.0)
• Triangulation library Poly2Tri has been replaced by Tinfoor
• Triangulation to accelerate the propagation is not used anymore (only used in DEM intersections test)

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 GUI
• NoiseModelling_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)

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 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 No 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

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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)

NoiseModelling presentation

• Architecture
  • 1. NoiseModelling libraries
  • 2. Database connection
  • 3. NoiseModelling with a GUI
  • 4. NoiseModelling with command lines
  • 5. Docker Setup
• Numerical Model
  • Emission Numerical Model
  • Path finding algorithm
  • Propagation Numerical Model
• Validation
  • Acoustic model validation
  • Implementation validation
• Scientific production
  • Standard Noise maps
  • Dynamic Noise maps
  • Probabilistic & Multi-sources Noise maps
  • Sensitivity Analysis & data assimilation
  • Auralisation

Tutorials

• Requirements
  • Java environment
• Get Started - GUI
  • Step 1: Download NoiseModelling
  • Step 2: Start NoiseModelling GUI
  • Step 3: Open NoiseModelling GUI
  • Step 4: Load input files
  • Step 5: Run Calculation
  • Step 6: Export (& see) the results
  • Step 7: Know the possibilities
• Noise Map from OSM - GUI
  • Prerequisites
  • Step 1: Get OSM data
  • Step 2: Visualize OSM data
  • Step 3: Generate a Receiver table
  • Step 4: Associate emission noise level with roads
  • Step 5: Source to Receiver Propagation
  • Step 6: Create Isosurfaces map
  • Step 7: View the result
• Noise Map from Point Source - GUI
  • Step 1: Create the source point
  • Step 2: Import input data in NoiseModelling
  • Step 3: Generate the noise map
  • Step 4: Change the default parameters
  • Step 5 (bonus): Change the directivity
• MATSim - GUI
  • Introduction
  • Prerequisites
  • The data
  • Step 1 : Import Buildings
  • Step 2 : Import MATSim Traffic Data
  • Step 3 : Import MATSim Activities
  • Step 4 : Assign a Receiver to each Activity
  • Step 5 : Calculate Noise Attenuation Matrix
  • Step 6 : Calculate Noise Maps
  • Visualization
• Pilot NoiseModelling with scripts
  • Requirements
  • 1. Simple command line
  • 2. Bash script
  • 3. Groovy script
• Tutorials - FAQ
  • Shapefiles or GeoJSON?
  • PostGreSQL or H2?
  • OSM
  • Metric SRID
  • Primary Key

User Interface

• WPS Blocks
  • WPS general presentation
  • NoiseModelling and WPS
  • Create your own WPS block
• WPS Builder
  • What is WPS Builder ?
  • Frequently Asked Question

For Advanced Users

• Create your own WPS block
  • Presentation
  • General Structure
• Access NoiseModelling database
  • Introduction
  • 1. Use WPS blocks
  • 2. Use H2/H2GIS web client
  • 3. Use DBeaver client
• Use NoiseModelling with a PostGIS database
  • Introduction
  • Connect with Java

For Developers

• Get Started

Appendices

• Noise Map Color Scheme
  • Introduction
  • French NF S31-130
  • German DIN 18005-2:1991
  • Italian Normativa tecnica UNI 9884
  • Coloring Noise
  • Create your own .SLD file
• Support
• License
• Glossary

Indices and tables

• Index
• Module Index
• Search Page