
Comparison of sound emission in ASJ RTN-Model 2018 and several European prediction models
The road traffic noise prediction model ASJ RTN-Model 2018 is used widely as a support tool in the environmental impact assessment of development projects in Southeast Asia as well as in Japan. In European countries, various prediction models such as Nord and CNOSSOS-EU have been published.
Since 2018, the specific noise emission, which can be incorporated into CNOSSOS-EU, was proposed in several countries: CNOSSOS-NL, -FR and sonROAD. Also, the coefficients of the emission model in CNOSSOS-EU were replaced in 2021. In this study, the values of noise emission and its frequency
characteristics were compared between these prediction models using immission values calculated considering the effects of the ground surface and a barrier. The results revealed that the emission values for three vehicle types in ASJ RTN-Model 2018 are almost 1 dB lower on average than those
in European models, and the immission values on the reflective ground are independent of differences in the frequency characteristic between the emission models.
The requested document is freely available to subscribers. Users without a subscription can purchase this article.
- Sign in below if you have already registered for online access
Sign in
Document Type: Research Article
Affiliations: Faculty of Science and Technology, Meijo University
Publication date: 30 November 2023
The Noise-Con conference proceedings are sponsored by INCE/USA and the Inter-Noise proceedings by I-INCE. NOVEM (Noise and Vibration Emerging Methods) conference proceedings are included. All NoiseCon Proceedings one year or older are free to download. InterNoise proceedings from outside the USA older than 10 years are free to download. Others are free to INCE/USA members and member societies of I-INCE.
- Membership Information
- INCE Subject Classification
- Ingenta Connect is not responsible for the content or availability of external websites
- Access Key
- Free content
- Partial Free content
- New content
- Open access content
- Partial Open access content
- Subscribed content
- Partial Subscribed content
- Free trial content