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
Link To Document :
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