Road traffic noise prediction model "ASJ RTN-Model 2023" proposed by the Acoustical Society of Japan -Part 3: Case studies of prediction accuracy on Japanese highways and roundabouts

The Acoustical Society of Japan (ASJ) has published a new version of road traffic noise prediction model "ASJ RTN-Model 2023" this April. Some case studies of the prediction accuracy, namely the correspondence between the predicted and measured value, using the new model is presented in this paper, as one of the three papers with same main title in this congress. The case study on Japanese highways was examined using the measurement at the straight sections. The LAeq at the measurement point was calculated using obtained traffic data for each lane and the age of pavement. The mean difference between predicted and measured LAeq were less than 3 dB. The case study at the vicinity of roundabouts was also examined using the prediction method newly introduced in the ASJ RTN-Model 2023. The case measurements were conducted at two round abouts in Japan, and the predicted LAeq corresponded to within 3 dB of the measured values.

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Publication Details

Journal
NOISE-CON proceedings
Published
2024-10-04
DOI
https://doi.org/10.3397/in_2024_3801
Citations
1
Primary Topic
Noise Effects and Management
Type
article
Field-Weighted Citation Impact
0.87
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article

Road traffic noise prediction model "ASJ RTN-Model 2023" proposed by the Acoustical Society of Japan -Part 3: Case studies of prediction accuracy on Japanese highways and roundabouts

Shinichi Sakamoto, Tomoyuki Itiki, Kimikazu IKEYA, Akinori Fukushima et al.
1 citations
NOISE-CON proceedings
Noise Effects and Management
0.87
article

Road traffic noise prediction model "ASJ RTN-Model 2023" proposed by the Acoustical Society of Japan -Part 3: Case studies of prediction accuracy on Japanese highways and roundabouts

Shinichi Sakamoto, Tomoyuki Itiki, Kimikazu IKEYA, Akinori Fukushima, Katsuya Yamauchi, Ken Anai, Yasuaki Okada, Naoto Maeda, Takatoshi Yokota
article en
1 citations

Abstract

The Acoustical Society of Japan (ASJ) has published a new version of road traffic noise prediction model "ASJ RTN-Model 2023" this April. Some case studies of the prediction accuracy, namely the correspondence between the predicted and measured value, using the new model is presented in this paper, as one of the three papers with same main title in this congress. The case study on Japanese highways was examined using the measurement at the straight sections. The LAeq at the measurement point was calculated using obtained traffic data for each lane and the age of pavement. The mean difference between predicted and measured LAeq were less than 3 dB. The case study at the vicinity of roundabouts was also examined using the prediction method newly introduced in the ASJ RTN-Model 2023. The case measurements were conducted at two round abouts in Japan, and the predicted LAeq corresponded to within 3 dB of the measured values.

NOISE-CON proceedingsVol. 270(5)
Kyushu University (JP), Fukuoka University (JP), Kobayasi Institute of Physical Research (JP), Faculty of Design (SI), Technical Design (United States) (US), The University of Tokyo (JP), Meijo University (JP)
Sustainable cities and communities
Openalex Percentile: Top 21%
Noise Effects and Management
0.87
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Road traffic noise prediction model "ASJ RTN-Model 2023" proposed by the Acoustical Society of Japan -Part 3: Case studies of prediction accuracy on Japanese highways and roundabouts — Shinichi Sakamoto, Tomoyuki Itiki, et al. · NOISE-CON proceedings (2024) | TGRS Research Map | TGRS