Evaluation indicator and models of time-varying traffic noise based on human feeling
13 May 2011-Vol. 4, pp 793-796
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.
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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.
References
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85 citations
"Evaluation indicator and models of ..." refers background in this paper
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76 citations
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Journal Article•
TL;DR: Authors evaluate the impaction of urban road traffic noise by the method of multilevel fuzzy pattern recognition comprising the real impaction on residents.
Abstract: Authors evaluate the impaction of urban road traffic noise by the method of multilevel fuzzy pattern recognition comprising the real impaction on residents. The validity and rationality are verified by practical example.
3 citations
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...evaluated the impaction of urban road traffic noise by multi-level fuzzy synthesis evaluation method [5]....
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TL;DR: In this paper, a two-phase study compared leisure noise preferences for workers who were exposed to either a "loud" (≥ 85 dBA) or "not loud" (not loud) noise.
3 citations
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01 Jan 2002
TL;DR: Various noise rating procedures are discussed with reference to actual applications and important functions in order to assess noise effects and establish governmental regulations.
Abstract: Noise is a community problem as well as an occupational hazard In order to assess noise effects and establish governmental regulations,a great number of noise ratings have been designed and used This article intends to discuss various noise rating procedures with reference to actual applications and important functions
1 citations