The accuracy of traffic noise prediction models (TNMs) is impaired by affecting factors and system errors. In addition, the traditional traffic noise source cannot be tested as the sound source is generated in the centreline of the road. To address these limitations, a TNM based on the equivalent sound source at the road shoulder was developed. First, the equivalent traffic flow based on the acoustic-equivalent conversion coefficient was calculated and the traffic noise source intensity model was deduced. The shoulder's sound pressure level (SPL) data were then used to formulate a single-vehicle equivalent SPL model and correct the traffic noise source intensity model. The propagation model was fitted according to the attenuation law that traffic noise strength attenuates gradually from the shoulder to the road outside and fluctuates periodically. The results of a case study showed that the absolute percentage error of the proposed model's prediction was 2·3% compared with the measured value, which was better than the performance of the current model suggested in the Chinese specification. The proposed prediction model provides a friendly and less time-consuming approach for city planners and traffic engineers to conduct freeway traffic noise prediction and assessment.
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April 2022
Research Article|
January 04 2019
Development of a road shoulder's equivalent sound source traffic noise prediction model
Xiaoning Wang, PhD
;
Xiaoning Wang, PhD
Associate Professor, School of Transportation Science and Engineering, Harbin Institute of Technology, Harbin, China
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Li Song, MSE
;
Li Song, MSE
PhD student, School of Transportation Science and Engineering, Harbin Institute of Technology, Harbin, China (corresponding author: lisong.scholar@foxmail.com)
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Zhitao Wu, MSE;
Zhitao Wu, MSE
Masters student, School of Transportation Science and Engineering, Harbin Institute of Technology, Harbin, China
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Peijie Wu, MSE
Peijie Wu, MSE
PhD student, School of Transportation Science and Engineering, Harbin Institute of Technology, Harbin, China
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Publisher: Emerald Publishing
Received:
July 10 2018
Accepted:
November 22 2018
Online ISSN: 1751-7710
Print ISSN: 0965-092X
ICE Publishing: All rights reserved
2018
Proceedings of the Institution of Civil Engineers - Transport (2022) 175 (2): 105–114.
Article history
Received:
July 10 2018
Accepted:
November 22 2018
Citation
Wang X, Song L, Wu Z, Wu P (2022), "Development of a road shoulder's equivalent sound source traffic noise prediction model". Proceedings of the Institution of Civil Engineers - Transport, Vol. 175 No. 2 pp. 105–114, doi: https://doi.org/10.1680/jtran.18.00105
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