A Prediction Model of Urban Rail Transit Noise

Abstract

With the rapid development of urban rail transit, subway has become the preferred choice for residents to travel, but its noise pollution is becoming increasingly serious. At present, there is a lack of effective model to predict the noise of train operation in China. In this paper, a noise prediction model of urban rail transit is proposed. Based on the existing model, the parameters are modified and improved, and the influence of environmental factors on noise and its prediction method are verified. The author also puts forward some suggestions on how to reduce traffic noise and how to construct subway lines in different periods. In this paper, a noise prediction model is established, which can predict the noise of rail transit, and some effective methods to reduce the noise are put forward.