基于速度—流量关系模型的公路噪声预测方法

Highway Noise Prediction Method Based On Speed—Volume Relationship Model

车流速度是道路交通噪声预测模型中的重要参数之一,其准确性将直接影响声环境评价的结果。为了解决实际工程应用中车流速度数据获取困难的问题,本文在等效车流量假设和速度相等假设的前提下,推导出一种基于速度—流量模型的公路噪声预测方法。该方法利用了交通工程领域经典的速度—流量关系模型,可根据车流量自动计算车流速度,从而缩减了噪声预测模型中输入参数的数量。其次,实地采集交通流特征数据,采用非线性回归方法标定模型参数。最后,利用同步观测得到的高速公路基本路段上的流量和噪声数据,验证了该方法的有效性,并估计其误差范围。

Speed is one of the most important coefficients in the road traffic noise prediction model. Its accuracy will directly influence the model＇s result. In order to solve the problem of acquiring flow speed data hard in project stage, a highway noise prediction method is firstly drawn based on speed--volume relationship model under the assumption of equivalent vehicle flow and equivalent vehicle speed. This method uses classical speed--volume relationship model to compute flow speed under the circumstances of flow volume is given. Secondly, using data selected on-the-spot survey, the model＇s coefficients are calibrated by nonlinear regression analysis. Last, the method is validated and its error range is given using flow volume and noise data selected on expressway segment.