在比较国内外各种道路交通噪声预测模型特点的基础上，选择了一种修正预测模型，预测出理论噪声值。
Through comparing various domestic and international traffic noise prediction models, a revised forecast model was selected to predict theoretical noise value.
对公路交通噪声预测模型进行了分析推导，指出美国联邦公路局FHWA模型为近似表达式，并给出了精确表达式。
Highway traffic noise prediction model is deduced and analyzed. It is indicated that the FHWA model originating from USA Federal Highway Administration is an approximate representation.
本研究在地理信息系统集成了交通噪声预测模型的基础上，设计和开发了基于地理信息系统的城市道路交通噪声预测系统。
The research integrates the prediction of traffic noise into the geography information system, and designs and develops the urban road traffic noise prediction system which is based on the GIS.
通过实地监测，分析了某干道车流量、车速、车型的变化规律及其与道路噪声的相互关系，并对选择的交通噪声预测模型进行了精度检验。
Through field monitoring, the variation laws of road traffic flow, vehicle speed and vehicle type are analyzed, as well as the relationship between road noise and traffic condition.
利用GM(1,1)模型对武汉市2008年前的道路交通噪声进行了预测。
Then using GM (1, 1) model, a predicting of Wuhan city road traffic noise condition prior to the year 2008 was made.
对现有的道路交通噪声预测的经验模型方法进行了评述，讨论了其不足之处。
This paper discusses the experiential model used in the current road traffic noise forecast and points out its drawback.
并运用该模型预测道路交通噪声的等效声级，把预测因子作为样本输入到网络模型，噪声等效声级作为样本输出。
Then use this model to predict equivalent continual sound level of road traffic noise, the fluence factors as the traffic flowing and the equivalent acoustic levels were output.
目前交通噪声预测使用的FHWA模型在实际应用以人工方式来统计通过的车辆数和车型，人工成本高，统计值容易产生偏差。
Now the FHWA model used in traffic noise prediction get the number and type of vehicles by artificial way, the labor cost is high and the statistical value often not very accuracy.
该模型为公路交通噪声的预测、治理和控制提供了良好的条件。
The model provides condition for predicting, administering and controlling traffic noise.
本文通过分析影响公路交通噪声的各种因素，并利用实测样本数据，建立了一个公路交通噪声预测的神经网络模型。
By using some road traffic noise measured data, a model of neural network for road traffic noise prediction was established.
本文通过分析影响公路交通噪声的各种因素，并利用实测样本数据，建立了一个公路交通噪声预测的神经网络模型。
By using some road traffic noise measured data, a model of neural network for road traffic noise prediction was established.
应用推荐