Traffic noise and pavement distresses: Modelling and assessment of input parameters influence through data mining techniques
Traffic noise affects greatly health and well-being of people, consequently the knowledge
and control of the factors affecting it is very important. In this study models to predict tyre-
pavement noise acoustic and psychoacoustic indicators based on type of pavement, texture,
pavement distresses and speed were developed and used to assess the importance of each
factor. By applying data mining techniques, in particular artificial neural networks and
support vector machines, models with good predictive capacity of both acoustic and …
and control of the factors affecting it is very important. In this study models to predict tyre-
pavement noise acoustic and psychoacoustic indicators based on type of pavement, texture,
pavement distresses and speed were developed and used to assess the importance of each
factor. By applying data mining techniques, in particular artificial neural networks and
support vector machines, models with good predictive capacity of both acoustic and …
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