Author(s)

A. Sabato & L.M. Caligiuri

Abstract

Noise pollution phenomena, when they are produced by vehicular traffic, are usually described through the Leq, to which is added, at most, the study of the time history of the measured sound pressure level during the monitoring. The present paper illustrates the application of statistical analysis methods to a large quantity of sound pressure level data, carried out during a measurements campaign performed in many urban centres, characterized by different vehicular traffic typologies. In particular, it is shown that the individuation and the employment of suitable statistic describers can allow the user to identify the most meaningful noise sources, contributing, in a decisive way, to their acoustical characterization, and to the development of predictive models usable in the noise impact evaluation procedures, as well as in the reduction of th

Keywords