• DocumentCode
    1865202
  • Title

    Evaluation indicator and models of time-varying traffic noise based on human feeling

  • Author

    Peng, Zhang ; Chunfu, Shao ; Ming, Cai

  • Author_Institution
    MOE Key Lab. for Transp. Complex Syst. Theor. & Technol., Beijing Jiaotong Univ., Beijing, China
  • Volume
    4
  • fYear
    2011
  • fDate
    13-15 May 2011
  • Firstpage
    793
  • Lastpage
    796
  • Abstract
    Effects on human vary between uniform and time-varying traffic noise with the same equivalent sound level. Firstly, the subjective evaluation experiment of time-varying traffic noise is designed and implemented in this paper to get truthful data. Secondly, taking the gender, employment and mood factors into account, some conclusions about the effects of traffic noise with different time-varying characteristics on human are obtained based on the test results. Then the paper defines the disturbance degree of traffic noise on human as the subjective indicator of noise evaluation, represented by Lm. Finally, taking multiple existing noise indicators as inputs and Lm as output, three mathematical models are established using multiple regression, stepwise regression and artificial neural network analysis respectively.
  • Keywords
    acoustic noise; neural nets; regression analysis; road traffic; artificial neural network analysis; disturbance degree; employment factors; evaluation indicator; human feeling; mathematical models; mood factors; multiple regression analysis; noise indicators; sound level; stepwise regression analysis; subjective evaluation experiment; time-varying traffic noise evaluation; Artificial neural networks; Computational modeling; Humans; Mathematical model; Mood; Noise; Vehicles; evaluation indicator; subjective evaluation experiment; time-varying characteristic; traffic noise;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Business Management and Electronic Information (BMEI), 2011 International Conference on
  • Conference_Location
    Guangzhou
  • Print_ISBN
    978-1-61284-108-3
  • Type

    conf

  • DOI
    10.1109/ICBMEI.2011.5921084
  • Filename
    5921084