Rapid Modeling Method for Road Traffic Noise
Sources: A case study in Beijing
Zhu L.,
Li X.,
Jiang C.,
Liu L.,
Wu R.,
Wang W.,
Zhang B.
Affiliations
Zhu L.
Beijing 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
Li X.
Beijing 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, China
Jiang C.
Beijing 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, China
Liu L.
Beijing 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, China
Wu R.
Beijing 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, China
Wang W.
Beijing 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
Zhang B.
Beijing Municipal Institute of Labor Protection, No.55,
TaoRanTing Road, Xicheng District, Beijing, 100054, China
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.
