Research on Traffic Noise Prediction and Control for Xisanqi South Road

Objectives Investigate the whole process in noise prediction of city road traffic, proposing targeted, effective noise control measures according to the results.

Methods Assess the early, middle and late stage of operation in 2014, 2020 and 2028, respectively, using Lima software and taking "NMPB-Routes-96(SETAR-CETRU-LCPC-CSTB)" as environmental noise prediction model.

Results Noise value increment of 60 acoustic environment sensitive points in operation late stage ranged from 0.2~5.4 dB(A) during daytime and.2~4.9 dB(A) during nighttime, compared with the early stage. In operation late stage, the highest values of noise prediction were 72.0 dB(A) during daytime and 65.2 dB(A) during nighttime. With increasing the height of predicted point, values of noise prediction increased below 10 floors and deceased above 10 floors. After modifying the window on the side of the road into Sound-proof Windows of class IV, the highest indoor values of noise prediction were 42.0dB(A) in the daytime and 35.2 dB(A) in nighttime.

Conclusions Applying Lima software to predict the noise of city road traffic, the noise values of sensitive points can be predicted in both the horizontal and vertical plane. The noise effect was significantly decreased by installing Sound-proof Windows.