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考虑路网交通流状态的单变量交通噪声预测

Single-variable Traffic Noise Prediction with Consideration of Traffic States in Urban Road Networks
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摘要 为实现路网区域交通噪声预测,克服传统预测模型中路段间交通特性相互独立以及路段内流量与速度相互独立的缺陷,借助Van Aerde交通流模型,在不同道路等级、设计速度约束下,结合道路线声源噪声排放,构建基于速度的单变量交通噪声预测模型。分别对比4种常见城市道路的交通噪声实测值,模型预测值平均偏差为1.63 dB,满足精度需求。应用该模型对典型路网进行噪声模拟,结果显示:设计速度由40 km/h连续变化到80 km/h时,不同位置路段产生的路网交通噪声变化量大小依次为内侧路段、偏外侧路段和外侧路段,且路网内侧区域交通噪声变化量明显大于路网外侧区域,两者平均差值为5.2 dB。研究可为路网交通噪声控制提供参考。 To realize the prediction of traffic noise in road networks and overcome the independence of traffic characteristics and the independence between flow and speed in traditional prediction models,a single-variable traffic noise prediction model based on the speed is presented.This model is established in virtue of Van Aerde traffic flow model,under the constraints of road grades and design speed and based on road line-source noise emission model.Comparing with the measured values of 4 types of urban roads,the average deviation of traffic noise predicted by the model is 1.63 dB,which meets the accuracy requirements.The traffic noise of a typical road network is simulated with the model.The results show that when the design speed is continuously increased from 40 km/h to 80 km/h,road network traffic noise variation quantity generated by sections at different locations increases in the order of the inner road,the partially outer side road,and the outside road.And the change value of traffic noise in the inner area of the road network is significantly greater than that in the outer area of the road network.Their average difference of increase is 5.2 dB.The study has provided a reference for road network traffic noise control.
作者 孙滨 陈亮 王海波 李巧茹 胡乐 武泽宇 SUN Bin;CHEN Liang;WANG Haibo;LI Qiaoru;HU Le;WU Zeyu(School of Civil and Transportation,Hebei University of Technology,Tianjin 300401,China;Faculty of Civil and Transportation Engineering,Guangdong University of Technology,Guangzhou 510006,China)
出处 《噪声与振动控制》 CSCD 北大核心 2021年第2期190-195,共6页 Noise and Vibration Control
基金 河北省自然科学基金资助项目(E2019202447) 广东省自然科学基金资助项目(2018A030310333)。
关键词 声学 交通噪声预测 交通流 设计速度 噪声分布 acoustics traffic noise prediction traffic flow design speed noise distribution
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