公路交通噪声预测模型FHWA、RLS90与规范模型的对比
发布时间：2019-06-21 12:29
【摘要】：对山东省济南-菏泽高速公路的部分路段进行交通噪声24 h连续监测,并根据实测的交通量和车辆行驶速度,运用FHWA模型、RLS90模型和规范模型进行噪声预测,将实测值与预测值进行对比分析可知,规范模型的预测值准确性更强.对高速公路单车噪声源强进行进一步实测分析,结果表明规范模型的源强计算值和源强实测值比较接近.考虑优化车型分类方式,将未满载的大客车归为中型车进行噪声预测,可使规范模型噪声预测值更为准确.
[Abstract]:The traffic noise of some sections of Jinan-Heze Expressway in Shandong Province was continuously monitored for 24 hours. according to the measured traffic volume and vehicle speed, FHWA model, RLS90 model and standard model were used to predict the noise. The comparison between the measured values and the predicted values shows that the predicted value of the canonical model is more accurate. The noise source intensity of expressway bicycle is further measured and analyzed. The results show that the calculated value of the source intensity of the code model is close to the measured value of the source strength. Considering the optimization of vehicle classification method, the noise prediction of the standard model can be more accurate by classifying the underloaded buses into medium vehicles for noise prediction.
【作者单位】： 山东交通学院土木工程学院;长安大学环境科学与工程学院;山东省交通科学研究所;
【基金】：山东省交通科技计划项目(2013A04-03)
【分类号】：U491.91
本文编号：2504076
[Abstract]:The traffic noise of some sections of Jinan-Heze Expressway in Shandong Province was continuously monitored for 24 hours. according to the measured traffic volume and vehicle speed, FHWA model, RLS90 model and standard model were used to predict the noise. The comparison between the measured values and the predicted values shows that the predicted value of the canonical model is more accurate. The noise source intensity of expressway bicycle is further measured and analyzed. The results show that the calculated value of the source intensity of the code model is close to the measured value of the source strength. Considering the optimization of vehicle classification method, the noise prediction of the standard model can be more accurate by classifying the underloaded buses into medium vehicles for noise prediction.
【作者单位】： 山东交通学院土木工程学院;长安大学环境科学与工程学院;山东省交通科学研究所;
【基金】：山东省交通科技计划项目(2013A04-03)
【分类号】：U491.91
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