Harmonoise private area

What is Harmonoise?
The Harmonoise project (Aug 2001 - Jan 2005) has produced methods for the prediction of environmental noise levels caused by road and railway traffic. These methods are intended to become the harmonized methods for noise mapping in all EU Member States. The methods are developed to predict the noise levels in terms of Lden and Lnight, which are the harmonized noise indicators according to the Environmental Noise Directive 2002/49/EC.


The Harmonoise project has made available all relevant deliverables that enable stakeholders to learn about the model.


Summary report:

D4 Final Technical Report 

Reports about source modelling:
D7 Road sources - State of the Art
D8 Road sources - Vehicle categories
D9 Road sources - Modelling in Harmonoise
D10 Rail sources - State of the Art
D11 Rail sources - Categorisation
D12 Rail sources - Definition of track influence 1-3
D12 Rail sources - Definition of track influence 2-3
D12 Rail sources - Definition of track influence 3-3
D13 Rail sources - Modelling in Harmonoise 1-2
D13 Rail sources - Modelling in Harmonoise 2-2

Reports about advanced propagation modelling:
D14 Reference model - Basic propagation models
D16 Reference model - Final description

Main project result: the Engineering model:
D18 The Harmonoise Engineering model 

Report on the database with long-term field measurements:
D20 Long-term field measurements - Database

Report on the validation of the models:
D21 Validation of the models 1-2
D21 Validation of the models 2-2


Besides these main Deliverables, a large number of underlying technical reports have been produced during the passed three years. A list of these reports is included in the Final Technical Report (D4). Some of these technical reports were already published at this website, but have been withdrawn now in order to make space for the main Deliverables. The consortium will decide later which technical reports will be published.

Modelling approach

By de-coupling the description of the source from the description of noise propagation, the Harmonoise project provides the basis for a generic noise propagation model, which has been validated within the project for surface transport sources (road and railway noise), but which can in principle be extended for other noise sources.

The rail and road sources are described by separate generating mechanisms, defined as sub-sources. For road noise this has resulted in a separate description of the rolling noise and propulsion noise, whereas for railways the sources have been divided into rolling, traction and aerodynamic noise.

This is a big advantage when, in the second stage of the European Noise Directive, it comes to the production of Noise Action Plans. The chosen source description will allow for an efficient simulation of certain source mitigation measures.

Measurement data from road and rail traffic have been collected during an extensive measurement campaign at selected locations in Europe to demonstrate the validity of the Harmonoise methods. The Reference method, which consists of a set of advanced sound propagation models, gives a more theoretical description of propagation effects and parameters. The model is used to validate the Engineering methods, in which the source models are coupled to the so-called point-to-point propagation model, which allows for time-efficient computations, to yield Lden and Lnight.

It was considered a main priority in the Harmonoise project to improve the description of weather conditions and their influence on sound propagation. A description of sound propagation through a turbulent or layered atmosphere has led to short-term noise levels for 25 meteorological classes.

An important advantage of the Harmonoise methods compared to other existing methods is the fact that the level of accuracy will mainly depend on the accuracy of the chosen input parameters. This makes the methods suitable for mapping purposes, where usually less detailed information about source and mapping area is required or available, but also for detailed computations in case of noise assessment studies.