道路騒音に対するfiltered Poisson過程modelからの実用的ハイブリッド予測法

概要

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Up to now, many kinds of approaches on the prediction problem of road traffic noise were considered especially from the static viewpoint based on the internal physical mechanism of vehicles situation and sound propagation enviroment. However, its prediction method had to be very often changed when the above internal mechanism was changed, since this method is closely connected with the distinctiveness of vehicles and propagation situation. In this paper, strikingly differing from the previous method, a practical hybrid method between experiment and theory for predicting the level distribution of road traffic noise, applicable under an arbitrary types of vehicles situation and propagation environment, is newly proposed from some dynamical viewpoint of filtered Poisson process model. This functional prediction method has a character with no necessity based on the distinctiveness of vehicles and propagation conditions. Finally, the effectiveness of the present method is experimentally confirmed by applying it to the actual road traffic noise with a complicated situation of traffic flow below 1000 vehicle number/hr which can not be predicted by the well-known standard prediction method proposed by Acoust. Soc. of Japan.
社団法人日本音響学会の論文
1983-12-01