Technical note: a statistical model for predicting road traffic noise based on Poisson type traffic flow

摘要

A new prediction model for A-weighted equivalent level produced by road traffic is presented. It is based on the supposition that the distribution of vehicles on the road is describable using a Poisson distribution and that vehicle sound emission is nondirectional (monopole). These conditions are realized if the traffic flow is lower than about 600 vehicles/b and vehicle speed is higher than 8.3 m/s. Equations are supplied for application of the model to one and two lane roads. The error associated with the proposed model has been calculated using a classical propagation of errors approach. A series of measurements have been carried out on different roads to verify the model. The relationship between the calculated and measured data has been quantified using a linear regression with a resulting correlation coefficient of 0.98. An extension of the model is proposed to Include situations when the vehicles move at a speed slower than about 8.3 m/s. In such situations the noise emission of a single vehicle is supposed to be directional in line with the direction of motion (dipole). A comparison between monopole and dipole models is presented for some example cases.