The present paper summarises an extensive body of recent work conducted by the authors, under contract to QDMR, aimed at improving the way in which the effects of pavement type is incorporated into traffic noise prediction procedures. Initially a very large data set of measured vehicle passby noise levels was established. These data were then analysed to produce an array of values of the Statistical Passby Index (SPBI), which is a relatively new index that quantifies the effects of pavement type on traffic noise for varying traffic conditions. From there, the set of SPBI values was analysed to produce pavement type factors that were subsequently incorporated into traffic noise predictions conducted with the US Traffic Noise Model (TNM) on roads and freeways in Queensland. The accuracy of this modified version of TNM was determined by comparing its predictions with measured data by means of a robust statistically based analysis. It was found that the accuracy of the TNM predictions was not affected by this novel technique of allowing for pavement type in the prediction of road traffic noise. (Author/publisher) For the covering entry of this conference, please see ITRD abstract no. E208431.
Samenvatting