Abstract:

Abstract: Prediction of road traffic noise source is the key to road traffic noise prediction. Because the vehicle conditions and road conditions in China are different from those in foreign countries, the direct application of the foreign models in China will reduce its accuracy. It is very difficult to obtain local model because of the demanding experimental site and the huge demand of the number of samples. Besides, the model based on standard experiment may not be suitable to the complex urban traffic flow. This paper proposed a simple and rapid method to establish a model accords with the characteristics of the local urban transport, which calculates the noise of the observation points, and then determines the optimal model parameters by optimizing algorithm. This method inversed the equivalent sound level to obtain the single-car sound power level model, which not only contained a wealth of samples, but also saved the measuring time. In this paper, a model was established and validated based on actual measured traffic data in Beijing, and the results showed that this method was fast, easy and with high accuracy.

摘要：

道路交通噪声源强的预测是道路交通噪声预测的关键。由于车辆状况、道路状况等在我国具有不同的特点；因而在采用国外道路交通噪声源强模型时将导致准确性降低。建立源强模型通常采用的实验方法对场地要求严格，样本数量需求巨大，不易获得本地模型。基于标准实验情况建立的模型不一定适用于复杂的城市交通流。为此，提出一种简单快速建立符合本地城市交通特点模型的方法，该方法以实测交通流数据计算观测点噪声，通过优化算法求解最优参数，确定本地化源强模型。该方法利用多辆车共同作用得到的等效声级，反演得到单车模型，既包含了丰富的样本，又节省测量时间。以北京选取道路的实践为例，建立模型并验证，结果表明本方法快速易行，准确性高。

关键词: 声学, 道路交通噪声, 源强模型, 本地模型, 噪声监测