【摘要】：對(duì)山東省濟(jì)南-菏澤高速公路的部分路段進(jìn)行交通噪聲24 h連續(xù)監(jiān)測(cè),并根據(jù)實(shí)測(cè)的交通量和車輛行駛速度,運(yùn)用FHWA模型、RLS90模型和規(guī)范模型進(jìn)行噪聲預(yù)測(cè),將實(shí)測(cè)值與預(yù)測(cè)值進(jìn)行對(duì)比分析可知,規(guī)范模型的預(yù)測(cè)值準(zhǔn)確性更強(qiáng).對(duì)高速公路單車噪聲源強(qiáng)進(jìn)行進(jìn)一步實(shí)測(cè)分析,結(jié)果表明規(guī)范模型的源強(qiáng)計(jì)算值和源強(qiáng)實(shí)測(cè)值比較接近.考慮優(yōu)化車型分類方式,將未滿載的大客車歸為中型車進(jìn)行噪聲預(yù)測(cè),可使規(guī)范模型噪聲預(yù)測(cè)值更為準(zhǔn)確.
[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.
【作者單位】： 山東交通學(xué)院土木工程學(xué)院;長(zhǎng)安大學(xué)環(huán)境科學(xué)與工程學(xué)院;山東省交通科學(xué)研究所;
【基金】：山東省交通科技計(jì)劃項(xiàng)目(2013A04-03)
【分類號(hào)】：U491.91

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1 王弘;高速公路交通噪聲預(yù)測(cè)模式在典型路段的應(yīng)用效果及修正[D];暨南大學(xué);2006年

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