当前位置: X-MOL 学术Appl. Acoust. › 论文详情
Our official English website, www.x-mol.net, welcomes your feedback! (Note: you will need to create a separate account there.)
Forecast and control of traffic noise based on improved UE model during road network design
Applied Acoustics ( IF 3.4 ) Pub Date : 2020-12-01 , DOI: 10.1016/j.apacoust.2020.107529
Liang Chen , Bin Sun , Haibo Wang , Qiaoru Li , Le Hu , Zixuan Chen

Abstract Considering the factor of traffic noise during design period could mitigate the noise emission of urban road networks. In this paper, noise prediction and control of typical points among design networks are presented, with the establishment of a univariate noise prediction model and the improvement of UE (user equilibrium) traffic assignment model. First, a univariate traffic noise prediction model is built with flow as variate merely, which is based on the line source model and introduce of the Van Aeder model. Furthermore, the accuracy of the prediction model is verified in comparison with measured traffic noise data. Secondly, the univariate traffic noise prediction model and travel time model are combined to form the impedance function with different traffic noise weight coefficients after normalization, and upon which the UE model is rebuilt with the road level of service as a constraint. Finally, the improved UE model is used to study the noise control law of the control points, which are divided in two types according to the location. The results show that the improved UE model can effectively reduce the traffic noise of control points by adjusting the traffic noise weight, and among them, the traffic noise of the control point beside the single road and the control point at the road crossing are reduced by at most 0.54 dB, 1.1 dB respectively. Meanwhile, the noise control of points in road network will cause uncertainty to the overall traffic noise emission of the road network, which confirms the noise paradox. Besides, while the traffic noise of the road where the control point is located is reduced, the noise emission and the travel delay of roads in parallel with objective road increases by 0.19 dB, 0.932 s at most. The correlation coefficient between the traffic noise difference of the control point and the VC ratio difference of the road beside the control point is as high as 0.9811 under the improved UE model with different traffic noise, and there is a linear relationship between them. The study can provide a reference for traffic noise control during urban road network design.

中文翻译:

基于改进UE模型的路网设计交通噪声预测与控制

摘要 设计期考虑交通噪声因素可以降低城市路网的噪声排放。本文提出了设计网络中典型点的噪声预测和控制,建立了单变量噪声预测模型,改进了UE(用户均衡)流量分配模型。首先,在线源模型的基础上,引入Van Aeder模型,建立了仅以流量为变量的单变量交通噪声预测模型。此外,通过与实测交通噪声数据进行比较,验证了预测模型的准确性。其次,将单变量交通噪声预测模型和行程时间模型相结合,归一化后形成具有不同交通噪声权重系数的阻抗函数,并在此基础上以道路服务水平作为约束重建 UE 模型。最后,利用改进的UE模型研究控制点的噪声控制规律,根据位置分为两类。结果表明,改进后的UE模型可以通过调整交通噪声权重有效降低控制点的交通噪声,其中单路旁控制点和交叉路口控制点的交通噪声降低了最大分别为 0.54 dB、1.1 dB。同时,路网各点的噪声控制会给路网整体交通噪声排放带来不确定性,证实了噪声悖论。此外,在降低控制点所在道路交通噪声的同时,与目标道路平行的道路的噪声排放和行进延迟增加0.19 dB,最多0.932 s。在不同交通噪声的改进UE模型下,控制点的交通噪声差异与控制点旁道路的VC比差异的相关系数高达0.9811,两者之间存在线性关系。该研究可为城市路网设计过程中的交通噪声控制提供参考。
更新日期:2020-12-01
down
wechat
bug