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Rapid Modeling Method for Road Traffic Noise Sources: A case study in Beijing

机译:道路交通噪声源快速建模方法-以北京为例

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摘要

Based on the local road traffic conditions in Beijing, China, this contribution proposes a rapid modeling method for road traffic noise sources. Since establishing the standardized experiment fields are expensive, real roads are used to determine the road traffic noise emission model in the method. Due to the similarity in the urban structures in China and Japan, this paper uses the ASJ- 2013 model as a template and replaces its model parameters with the ones output by an optimization program which minimizes the sum of absolute errors between the predicted and the measured LAeq. Real road experiments are conducted to verify the effectiveness and feasibility of the modeling method. The mean error of the model deduced by the method and the ASJ-2013 model is respectively 0.4 dB and 2.6 dB, and the mean absolute error of the two models is respectively 1.1 dB and 2.6 dB. The results of the real road experiments show that the road traffic noise sources deduced by the method are more accurate to conduct local noise prediction than those of other models.
机译:根据中国北京的当地道路交通状况,本文为道路交通噪声源提出了一种快速建模方法。由于建立标准化实验场很昂贵,因此在该方法中使用真实道路来确定道路交通噪声排放模型。由于中国和日本城市结构的相似性,本文以ASJ-2013模型为模板,并通过优化程序将模型参数替换为输出参数,以最大程度地减少预测值与实测值之间的绝对误差之和。 LAeq。进行了真实的道路实验,以验证该建模方法的有效性和可行性。该方法和ASJ-2013模型推导出的模型平均误差分别为0.4 dB和2.6 dB,两个模型的平均绝对误差分别为1.1 dB和2.6 dB。实际道路实验结果表明,与其他模型相比,该方法推导的道路交通噪声源进行局部噪声预测更为准确。

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