Volume 24 Issue 5
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Article Navigation >  Journal of Traffic and Transportation Engineering  > 2024  >  24(5): 154-172
QIAN Kun, SHEN Zheng-hua, TAN Jing, LIU Ke, DUAN Ji-ying, DU Xi-kang, ZHAO Jian. Review on evaluation of sound quality in high-speed trains[J]. Journal of Traffic and Transportation Engineering, 2024, 24(5): 154-172. doi: 10.19818/j.cnki.1671-1637.2024.05.011
Citation: QIAN Kun, SHEN Zheng-hua, TAN Jing, LIU Ke, DUAN Ji-ying, DU Xi-kang, ZHAO Jian. Review on evaluation of sound quality in high-speed trains[J]. Journal of Traffic and Transportation Engineering, 2024, 24(5): 154-172. doi: 10.19818/j.cnki.1671-1637.2024.05.011
shu

Review on evaluation of sound quality in high-speed trains

doi: 10.19818/j.cnki.1671-1637.2024.05.011

  • School of Mechanical Engineering, Dalian University of Technology, Dalian 116023, Liaoning, China

Funds:

National Key Research and Development Program of China 2019YFE0121300

Fundamental Research Funds for the Central Universities DUT22RC(3)002

China Postdoctoral Science Foundation 2019M650657

More Information
  • Author Bio:

    QIAN Kun(1988-), male, associate professor, PhD, qiankun_nvh@163.com

    ZHAO Jian(1980-), male, professor, PhD, jzhao@dlut.edu.cn

  • Received Date: 2024-04-21
    Available Online: 2024-12-20
  • Publish Date: 2024-10-25
    Abstract
  • The current research status and results of the evaluation of sound quality in high-speed trains were introduced from three aspects, including objective evaluation, subjective evaluation, and objective quantitative model. The subjective and objective evaluation methods of sound quality, as well as the objective quantitative models of sound quality in high-speed trains were summarized. The advantages and disadvantages of different models were discussed, and the future development directions of evaluation of sound quality in high-speed trains were forecasted. Analysis results show that at the present stage, most of the acoustic standards and acoustic design objectives for high-speed trains use A-weighted sound pressure level as the interior noise evaluation index, but in most cases, the noise is dominated by the low and medium frequencies. At this time, the A-weighted sound pressure level fails to well characterize the human ear's subjective feeling of the noise, so the use of the sound quality should be considered to carry out the subjective and objective evaluations of the noise. In the future, it is necessary to pay more attention to the applicability study of the objective parameters of the sound quality on the sound quality in high-speed trains, and the extraction of the key objective parameters of the sound quality is one of the important directions of the research on the evaluation of sound quality. The existing traditional objective psychoacoustic parameters cannot be well combined with the machine learning model to realize the accurate evaluation of sound quality. Extracting the features of traditional sound signals and combining it with the machine learning model for sound quality evaluation and analysis are the development trends of the future evaluation of sound quality in high-speed trains. The traditional subjective evaluation method of sound quality in high-speed trains has a long evaluation time and poor repeatability. Therefore, establishing a high-precision objective quantitative model of sound quality to replace traditional subjective evaluation methods, shorten the evaluation time, and improving the evaluation accuracy is the key direction of the future research on the evaluation of sound quality. The traditional multivariate linear regression model fails to evaluate the sound quality in the high-speed train well. In the future, with the rapid development of machine learning, the selection of suitable machine learning models combined with intelligent algorithm optimization to develop more accurate and efficient sound quality evaluation prediction models is an important part of the research on sound quality in high-speed trains. 8 tabs, 22 figs, 67 refs.

     

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