Change search
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • harvard1
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf
A proposal for improved source model for predicting railway noise in Sweden
Responsible organisation
2014 (English)Report (Other academic)
Abstract [en]

The current noise prediction model used in Sweden for rail traffic noise, NMT96, was finalised in 1996. Since then nearly 20 years passed. At European level, advanced noise prediction methods have been developed based on state-of-the-art scientific, technical and practical knowledge about environment noise assessment. Such examples can be e.g. TWINS for railway noise, the Harmonoise-Imagine methods for road, railway, aircraft and industry noise, and Nord 2000 Road for road noise in Nordic countries. Moreover, for strategic noise mapping over European member states, it has recently been decided that the European common noise assessment method, CNOSSOS-EU, is mandatory to be used. To follow these developments in fighting environmental noise, the Swedish Transport Administration (Trafikverket) requires to update the prediction models for road and rail traffic noise as well as to elaborate noise emission data for the extended noise source models. This pilot study aims at proposing an improved source model for railway noise, with railway track standard respected. Explicitly, rail roughness, track type, and noise measures on a track should be taken as input parameters in the source model

Place, publisher, year, edition, pages
SP Technical Research Institute of Sweden , 2014. , p. 34
Series
Trafikverkets forskningsportföljer
Series
SP Rapport, ISSN 0284-5172
Keywords [en]
noise, calculation, method, mathematical model, prediction, rail traffic, railway track
National Category
Public Health, Global Health, Social Medicine and Epidemiology
Identifiers
URN: urn:nbn:se:trafikverket:diva-2365Archive number: TRV 2014/65258OAI: oai:DiVA.org:trafikverket-2365DiVA, id: diva2:30070
Projects
Uppdaterade bullerberäkningsmodeller, emissionsdata
Funder
Swedish Transport Administration, TRV 2014/65258Available from: 2024-02-01 Created: 2024-02-01 Last updated: 2024-02-01Bibliographically approved

Open Access in DiVA

A proposal for improved source model for predicting railway noise in Sweden(786 kB)0 downloads
File information
File name FULLTEXT01.pdfFile size 786 kBChecksum SHA-512
385412d10b6d2eb800e93785bdd09b7345df10b9837ddeaef5287529de8ddb7bea87b3c9eb7ad8f5d7bdc953863bec30c7307b39f8ebb3cfa2384799af8a9f7c
Type fulltextMimetype application/pdf

Public Health, Global Health, Social Medicine and Epidemiology

Search outside of DiVA

GoogleGoogle Scholar
The number of downloads is the sum of all downloads of full texts. It may include eg previous versions that are now no longer available

urn-nbn

Altmetric score

urn-nbn
Total: 1 hits
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • harvard1
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf