Rapid Modeling Method for Road Traffic Noise Sources: A case study in Beijing

Based on the local road traffic conditions in Beijing, China, this contribution proposes a rapid modeling method for road traffic noise sources. Since establishing the standardized experiment fields are expensive, real roads are used to determine the road traffic noise emission model in the method....

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Main Authors: Zhu L., Li X., Jiang C., Liu L., Wu R., Wang W., Zhang B.
Format: Article
Language:English
Published: De Gruyter 2015-11-01
Series:Noise Mapping
Subjects:
Online Access:http://www.degruyter.com/view/j/noise.2015.2.issue-1/noise-2015-0003/noise-2015-0003.xml?format=INT
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author Zhu L.
Li X.
Jiang C.
Liu L.
Wu R.
Wang W.
Zhang B.
author_facet Zhu L.
Li X.
Jiang C.
Liu L.
Wu R.
Wang W.
Zhang B.
author_sort Zhu L.
collection DOAJ
description Based on the local road traffic conditions in Beijing, China, this contribution proposes a rapid modeling method for road traffic noise sources. Since establishing the standardized experiment fields are expensive, real roads are used to determine the road traffic noise emission model in the method. Due to the similarity in the urban structures in China and Japan, this paper uses the ASJ- 2013 model as a template and replaces its model parameters with the ones output by an optimization program which minimizes the sum of absolute errors between the predicted and the measured LAeq. Real road experiments are conducted to verify the effectiveness and feasibility of the modeling method. The mean error of the model deduced by the method and the ASJ-2013 model is respectively 0.4 dB and 2.6 dB, and the mean absolute error of the two models is respectively 1.1 dB and 2.6 dB. The results of the real road experiments show that the road traffic noise sources deduced by the method are more accurate to conduct local noise prediction than those of other models.
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spelling doaj.art-a955236dbb984681a7e63f795ce7072c2022-12-21T17:26:36ZengDe GruyterNoise Mapping2084-879X2015-11-012110.1515/noise-2015-0003noise-2015-0003Rapid Modeling Method for Road Traffic Noise Sources: A case study in BeijingZhu L.0Li X.1Jiang C.2Liu L.3Wu R.4Wang W.5Zhang B.6Beijing Municipal Institute of Labor Protection, No.55, TaoRanTing Road, Xicheng District, Beijing, 100054, China; Beijing Key Laboratory of Environment Noise and Vibration, No.55, TaoRanTing Road, Xicheng District, Beijing, 100054, ChinaBeijing Municipal Institute of Labor Protection, No.55, TaoRanTing Road, Xicheng District, Beijing, 100054, China; Beijing Key Laboratory of Environment Noise and Vibration, No.55, TaoRanTing Road, Xicheng District, Beijing, 100054, China; State environment protection engineering center for city noise and vibration control, No.55, TaoRanTing Road, Xicheng District, Beijing, 100054, ChinaBeijing Municipal Institute of Labor Protection, No.55, TaoRanTing Road, Xicheng District, Beijing, 100054, China; State environment protection engineering center for city noise and vibration control, No.55, TaoRanTing Road, Xicheng District, Beijing, 100054, ChinaBeijing Municipal Institute of Labor Protection, No.55, TaoRanTing Road, Xicheng District, Beijing, 100054, China; State environment protection engineering center for city noise and vibration control, No.55, TaoRanTing Road, Xicheng District, Beijing, 100054, ChinaBeijing Municipal Institute of Labor Protection, No.55, TaoRanTing Road, Xicheng District, Beijing, 100054, China; State environment protection engineering center for city noise and vibration control, No.55, TaoRanTing Road, Xicheng District, Beijing, 100054, ChinaBeijing Municipal Institute of Labor Protection, No.55, TaoRanTing Road, Xicheng District, Beijing, 100054, China; Beijing Key Laboratory of Environment Noise and Vibration, No.55, TaoRanTing Road, Xicheng District, Beijing, 100054, ChinaBeijing Municipal Institute of Labor Protection, No.55, TaoRanTing Road, Xicheng District, Beijing, 100054, ChinaBased on the local road traffic conditions in Beijing, China, this contribution proposes a rapid modeling method for road traffic noise sources. Since establishing the standardized experiment fields are expensive, real roads are used to determine the road traffic noise emission model in the method. Due to the similarity in the urban structures in China and Japan, this paper uses the ASJ- 2013 model as a template and replaces its model parameters with the ones output by an optimization program which minimizes the sum of absolute errors between the predicted and the measured LAeq. Real road experiments are conducted to verify the effectiveness and feasibility of the modeling method. The mean error of the model deduced by the method and the ASJ-2013 model is respectively 0.4 dB and 2.6 dB, and the mean absolute error of the two models is respectively 1.1 dB and 2.6 dB. The results of the real road experiments show that the road traffic noise sources deduced by the method are more accurate to conduct local noise prediction than those of other models.http://www.degruyter.com/view/j/noise.2015.2.issue-1/noise-2015-0003/noise-2015-0003.xml?format=INTvehicle noise traffic noise modeling
spellingShingle Zhu L.
Li X.
Jiang C.
Liu L.
Wu R.
Wang W.
Zhang B.
Rapid Modeling Method for Road Traffic Noise Sources: A case study in Beijing
Noise Mapping
vehicle noise
traffic noise
modeling
title Rapid Modeling Method for Road Traffic Noise Sources: A case study in Beijing
title_full Rapid Modeling Method for Road Traffic Noise Sources: A case study in Beijing
title_fullStr Rapid Modeling Method for Road Traffic Noise Sources: A case study in Beijing
title_full_unstemmed Rapid Modeling Method for Road Traffic Noise Sources: A case study in Beijing
title_short Rapid Modeling Method for Road Traffic Noise Sources: A case study in Beijing
title_sort rapid modeling method for road traffic noise sources a case study in beijing
topic vehicle noise
traffic noise
modeling
url http://www.degruyter.com/view/j/noise.2015.2.issue-1/noise-2015-0003/noise-2015-0003.xml?format=INT
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