【24h】

Honking Noise Contribution to Road Traffic Noise Prediction

机译:呼吸对道路交通噪声预测的噪音贡献

获取原文

摘要

The implementation of Road Traffic Noise predictive Models (RTNMs) is crucial in order to be able to predict noise in urban areas strongly affected by vehicular traffic. These RTNMs can have in input a small or large number of inputs, according to the implemented function. Among these inputs, honking cannot be neglected in some specific areas in which drivers are used to hom in traffic jam or in proximity of intersections or other vehicles. In this paper, starting from a field measurement campaign in India, the authors highlight the shortcomings of standard RTNMs, that are not able to include random noisy events such as low or high pressure honking. Once the differences will be evaluated, the contribution of honking will be estimated and added to the predictions, to achieve a new model that is able to provide results in good agreement with field measurements.
机译:道路交通噪声预测模型(RTNMS)的实施至关重要,以便能够预测由车辆交通影响强烈影响的城市地区的噪声。根据实现的功能,这些RTNMS可以输入小或大量输入。在这些投入中,在某些特定领域,驾驶员不能忽略鸣叫,其中司机用于交通堵塞或交叉口或其他车辆的邻近。在本文中,从印度的现场测量活动开始,作者突出了标准RTNMS的缺点,这些缺点不能包括随机嘈杂的事件,例如低压鸣叫。一旦评估了差异,将估计鸣叫的贡献并将其添加到预测中,以实现能够与现场测量结果提供良好协议的新模型。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号