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Author

Zhang Peng

Bio: Zhang Peng is an academic researcher from Beijing Jiaotong University. The author has contributed to research in topics: Noise & Traffic noise. The author has an hindex of 1, co-authored 1 publications receiving 1 citations.

Papers
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Proceedings ArticleDOI
13 May 2011
TL;DR: The paper defines the disturbance degree of traffic noise on human as the subjective indicator of noise evaluation, represented by Lm, and three mathematical models are established using multiple regression, stepwise regression and artificial neural network analysis respectively.
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 L m . Finally, taking multiple existing noise indicators as inputs and L m as output, three mathematical models are established using multiple regression, stepwise regression and artificial neural network analysis respectively.

1 citations


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Book ChapterDOI
01 Jan 2013
TL;DR: A new model for evaluating traffic noise is suggested that takes into account both the objective measurements like the traffic noise and the acoustic environment, and the subjective reaction caused by noise.
Abstract: Based on the fuzzy matter element analysis and the combination of the concept of Euclid approach degree, this paper suggests a new model for evaluating traffic noise. The model takes into account both the objective measurements like the traffic noise and the acoustic environment, and the subjective reaction caused by noise. Case studies of evaluating impact of traffic noise on residents confirmed the feasibility of the model.