Unlike the current methods for dynamic traffic noise maps by using traffic flow as the non-acoustic road-related parameter to predict the noise emission of the whole road network, this study proposes a new method for dynamic updates of traffic noise maps in large regions based on noise monitoring and traffic speed data. The proposed method consists of two main parts. First, since the traffic speed is one of the factors affecting the traffic noise, a model of the noise level and traffic speed is proposed to update dynamically the noise source intensity of the whole road network with the real-time noise monitoring data. Second, to avoid redundant computations, the acoustic attenuation terms are calculated in advance and combined with the updated noise source intensity to generate new noise maps. Compared with two other methods, the proposed method has higher accuracy with a 1.65-dB overall error.

不同于当前以交通流量作为非声学相关参数来预测整个路网噪声排放的动态交通噪声图的方法，本研究提出了一种基于大区域动态更新交通噪声图的新方法。关于噪声监测和交通速度数据。所提出的方法包括两个主要部分。首先，由于交通速度是影响交通噪声的因素之一，因此提出了一种噪声水平和交通速度模型，利用实时噪声监测数据动态更新整个路网的噪声源强度。其次，为避免重复计算，应预先计算声学衰减项，并将其与更新的噪声源强度结合以生成新的噪声图。与其他两种方法相比，该方法具有更高的精度，总误差为1.65 dB。