Implementation of the Dutch Railway Noise Model for use in Noise Mapping

 

D Manvell          Brüel & Kjær Sound & Vibration Measurements A/S, Denmark

E Hartog van Banda       DGMR raadgevende ingenieurs bv, Netherlands

1.                INTRODUCTION

 

Based on an evaluation of European calculation standards by a pan-European expert working group, the Dutch Railway Noise Model of 1996 (1) has been selected by the European Commission as the de-facto standard for use in the proposed Environmental Noise Directive for use noise mapping (2). This paper briefly describes the method and the design considerations necessary during development of a computer software implementation of the method. Validation procedures to ensure that the software complies with the method are also described. Finally, the application of the model to areas outside Holland and to different applications such as noise mapping is discussed.

 

2.                The Dutch Railway Noise Model of 1996

 

The Dutch Railway Noise Model dates from the beginning of the 1980s. In 1987, the first final version was published. The method gave no information on uncertainties and no test cases for a software manufacturer to test his software against. In addition, no tests of software packages implementing the method were demanded by national authorities. As a result, in the ‘80s, a series of round robin tests were carried out by local and regional authorities in the Netherlands to evaluate the quality of software and determine the spread of results achievable in practice in real-life situations and with actual users. These tests showed the smallest differences of 0.5 dB if a 2° angle of sight and the 1st reflection only were used. As a result, the method was given a major facelift in 1996 (the RLM2 method). The angle of sight, number of reflections and the source modelling (see Figure 1) were standardised specifically to reduce differences in different software packages.

 

Figure 1. Standard model of the railway source defined in RLM2

 

RLM2 is an octave-band model (63 to 8000 Hz) that defines 9 categories of trains (see Figure 2) with similar emission characteristics defined by speed, track type, percentage of stopping trains and average hourly traffic flow in units. The number of carriages in a unit is also given in Figure 2. There are up to 5 noise sources per train category at different positions (see Figure 3). In most cases, only the lower 2 sources are used.

 


Figure 2. Train categories defined in RLM2

Figure 3. Sources and their positions relative to the track


 

Propagation is similar to ISO 9613 (3) and takes into consideration geometrical divergence, air absorption in addition to ground, barrier, reflection and meteorological effects. However, the fact that railways are dipole sources is also taken into account in the method.

 

3.                IMPLEMENTING The Dutch Railway Noise Model

 

RLM2 has been implemented in Brüel & Kjær’s Predictor Type 7810 software based on previous experience gained from implementation of the 1987 version, user feedback and authority guidelines. While the new method improved the modelling of the source, the main aims of the software implementation were to reduce errors in interpretation of the method in the software to a minimum and reduce user error by providing an intuitive user interface. Thus, close cooperation between users, developers of the method and the developers of the software was essential.

 

Previously, calculation methods were developed and described for manual calculation with calculators or spreadsheets. A software developer interprets the text and implements it. This gives rise to possible errors due to imprecision in the text and small mathematical differences between the text and the software. The individual’s use of the software then adds an extra source of error. In order to improve the quality of results, the following steps can be taken:

·          Provide authorized test cases for the method

·          Provide uncertainty limits in the method description in general or for these test cases

·          Standardized implementation of parts of the method

·          Consultation between the developers of the method and the developers of the software

·          Intuitive implementation of the method using the software by users

·          Extensive testing

 

RLM2 is no exception. However, there are no uncertainty limits given in the RLM2 method – neither for the input nor the result. And, unlike the CRTN method (4), the RLM2 method includes no test cases for developers to validate their software. On the other hand, the angle of sight, number of reflections and source modelling (source height and railway profile) were standardised. The weaknesses in the method description were countered by intensively pursuing the other aspects:

·          Consultation between the developers of the method and the developers of the software to clarify implementation doubts

·          Extensive testing of individual factors in the method (e.g. divergence, barrier effect) against results calculated in spreadsheets by method experts, external to the development group

·          Extensive testing by several users experienced in the method. Complex models (e.g concerning reflections or screening) were compared to expected results

·          Intuitive user interface of the software by user involvement and beta releases

·          Information to users on how to implement the method in help, manuals and at seminars

The verification method used for Predictor follows the Nordic method for verification of environmental calculation software (5) where the software’s calculation result in several test cases are compared to result limits (in this case internal limits) for each software release version.

 

4.                Application outside THE NETHERLANDS

 

In Holland, the traffic flow of all trains is standardised in one database (the “Acoustisch Spoorboekje”) which everybody can buy. This is maintained by the Dutch Ministry of the Environment and contains the number and types of trains, the speed, the track construction, etc. for all railways in Holland at a resolution of 100m, valid for the current year and for a future year. This further reduces discrepancies in results between different software and different users.

 

The RLM2 method is suitable for use internationally. This is a major reason for its selection by the European Commission as the de-facto standard for use in the proposed Environmental Noise Directive for noise mapping. The method is one of the newest railway noise calculation methods available. The propagation part of the method is close to ISO 9613, purely physical and thus international. The source model is based on Dutch trains, rolling stock and track. These are similar to other European countries and therefore can be used internationally. As the RLM2 source model produces a sound power/metre, alternative source models based on national databases can easily be implemented.

 

Outside Holland, the following factors are probably not standardised and will reduce the accuracy of the method:

·          standardised calculation factors such as angle of sight and number of reflections used

·          standardised source model (source height and railway profile)

·          a national traffic flow database

Thus, the European Commission is urged to take these factors into account. In addition, implementation of the method in software packages without detailed knowledge and experience of the RLM2 method may contribute to reduced accuracy.

 

5.                Application to noise mapping

 

The RLM2 method is an octave-band method. This is a slower calculation method than a broad-band LAeq-based method as 8 octave bands have to be calculated for each source-receiver combination before the total A-weighted result can be seen. Compared to LAeq-based methods, this reduces speed by a comparable factor. However, the accuracies of LAeq-based methods are poor in complex situations where several attenuation factors (e.g. reflections and screening) are present. The improvements in accuracy greatly outweigh the reduction in calculation speed.

 

The RLM2 method has already been successfully used to map railway noise over large areas in the Netherlands. For example, the entire length of the railway line from Rotterdam Harbour in the West of the Netherlands to the German border in the East was mapped to determine whether the 57 dB(A) limit at dwellings would be adhered to. In total, an corridor of 1 km or so was mapped over the entire 150 km long line. When this was first done some 5 years ago, the calculations of 20 to 30 km long stretches of the track were performed overnight. Today, with modern computers and calculation software, calculation speeds have increased tenfold, resulting calculation times of an hour or so.

 

In urban areas, calculations can often be limited to shorter propagation distances, in particular in areas where other sources of noise (e.g. road traffic) dominate. This further increases calculation speed. On the other hand, more closely spaced receiver points are often required to cover the noisy and quiet facades of residences with the necessary resolution. In built up areas, it may be beneficial to increase the number of reflections to improve accuracy at the cost of extra calculation time. For these quiet facades, the effects of reflections are particularly important. However, software implementations differ in their treatment of multiple reflections and results from different users and software will have larger discrepancies.

 

6.                CONCLUSION

 

Implementations of the Dutch Railway Noise Model have been developed for over 20 years. During this, the model itself, its implementation in software and its use have improved and now give good results in the Netherlands through the use of standardised input parameters.

 

Implementation of the model in Brüel & Kjær’s Predictor Type 7810 software is based on experience gained from implementation of the 1987 version, user feedback and the guidelines that have been developed. The main aims of the software implementation were to reduce errors in interpretation of the method in the software to a minimum and reduce user error by providing an intuitive user interface. This involved cooperation between users, developers of the method and the developers of the software. Despite (or perhaps because of) a lack of authorized test cases and uncertainty limits for the method, intensive validation was undertaken.

 

The RLM2 method is suitable for use internationally. However, outside Holland, some non-standardised factors will reduce the accuracy of the method. The European Commission is urged to take these factors into account. In addition, implementation of the method in software packages without detailed knowledge and experience of the RLM2 method may contribute to reduced accuracy.

Compared to the world of sound level meters, calculation software methods in general still lack accuracy requirements and test procedures in standardized quality assurance regimes. Adding this to new versions of current methods or to the new common EU method should be a high priority for the controlling body (the European Commission). This will result in better methds, better software implementations and better results.

 

7.                REFERENCES

1. The Dutch Railway Noise Model Reken en Meetvoorschriften Railverkeerslawaai '96, Centrale Directie Voorlichting en Externe Betrekkingen, 14/1997, 1996

2. Proposal for a Directive of the European Parliament and of the Council relating to the Assessment and Management of Environmental Noise European Commission, COM(2000) 468 final 2000/0194(COD), 2000

3. ISO 9613 Part 2 Acoustics – Attenuation of Sound During Propagation Outdoors – Part 2: General Method of Calculation, 1996

4. Calculation of Road Traffic Noise, HMSO, ISBN 0 11 550847 3, 1988

5. Acoustics. Framework for the Verification of Environmental Calculation Software, Nordtest Remiss 1455-99, 1999