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首页> 外文期刊>Building and Environment >A new steady-state traffic noise model for estimating L_(10)(h) on free flow roads using Reference Energy Mean Emission Levels
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A new steady-state traffic noise model for estimating L_(10)(h) on free flow roads using Reference Energy Mean Emission Levels

机译：一种新的稳态交通噪声模型，用于使用参考能量平均发射水平估算自由流动道路上的L_（10）（H）

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In this paper, a new steady-state model was developed for predicting L10(h) on free flow roads based on a simulated sound level function. Initially, Reference Energy Mean Emission Levels (REMELs) were used in the simulation process to determine the sound level generated by a single vehicle at a specified distance. Then, a random distribution was used for the time each vehicle reached the receptor, where a time-dependent function for estimating sound level was established. Next, a steady-state model was calibrated with data obtained from the simulated sound level function. This model was developed to estimate L10(h) based on traffic volume, average speed, distance, percentage of heavy vehicles, and angles of the road segment. Finally, the new model was validated with the measured data, with the accuracy of the model verified. To better evaluate the proposed model, the values of L10(h) were also calculated by CoRTN model. The mean absolute error for CoRTN model was 1.71 dB A, while it was 0.96 dB A for the proposed model. Since the measured data were not used for calibration, and the new steady-state model was based on a simulated sound level function, the new model had greater accuracy and fewer restrictions than other steady-state models. Using the proposed method, the need for measured data to calibrate the traffic noise models is reduced. Instead, there is a wide and unlimited range of data, which makes it possible to find more accurate relationships between L10(h) and independent variables of the model.
机译：在本文中，基于模拟声级功能来开发了一种新的稳态模型，用于预测自由流道上的L10（h）。最初，参考能量平均发射水平（Remels）用于模拟过程中，以确定在指定距离处由单个车辆产生的声级。然后，在每个车辆到达受体的时间内使用随机分布，其中建立了用于估计声级的时间依赖性功能。接下来，使用从模拟声级功能获得的数据进行校准稳态模型。该模型是基于交通量，平均速度，距离，重型车辆的平均速度，距离和路段角度来估计L10（h）。最后，使用测量数据验证了新模型，验证了模型的准确性。为了更好地评估所提出的模型，还通过Cortn模型计算L10（h）的值。 Cortn Model的平均绝对误差为1.71 dB A，而该模型为0.96 dB A.由于测量的数据不用于校准，并且新的稳态模型基于模拟声级功能，因此新模型具有更高的准确性和比其他稳态模型更少的限制。使用所提出的方法，减少了对校准流量噪声模型的测量数据的需求。相反，存在广泛且无限的数据范围，这使得可以在L10（H）和模型的独立变量之间找到更准确的关系。

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