基于实时车辆源强的交通噪声预测模型研究

道路交通噪声预测是公路建设与使用过程中的重要一环,准确预测交通噪声对道路两旁敏感点的噪声贡献和影响能为噪声治理提供强有力的技术支撑。该研究从移动声源在预测点产生的声能推导出交通噪声计算数学模型。通过实验室测试和实地测试进行验证,得出预测点位测量值与预测值的差值在3 dB(A)以内,说明使用该数学模型进行预测噪声具有很强的适用性。再通过该模型的应用研究,计算某一敏感点噪声主要受多长范围内道路的影响,以此作为依据为后期治理提出一些建设性的意见。

Research on traffic noise prediction model based on real-time vehicle source intensity

Traffic noise prediction is an important part in highway construction and use processes. Accurately predicting the contribution of traffic noise to sensitive points on both sides of the highway can provide strong technical support for noise control. In this paper, a mathematical model for traffic noise calculation is derived from the sound energy generated by the moving sound sources at the prediction point, and it is verified by laboratory test and field test that the difference between the measured value and the predicted value is less than 3 dB(A). Therefore, the applicability of the mathematical model to noise prediction is confirmed. Then, the model is used to calculate the lengths of highway that affects the noises at certain sensitive points, and some constructive suggestions are put forward for the noise control.