Traffic noise and pavement distresses: Modelling and assessment of input parameters influence through data mining techniques. (September 2018)

• Record Type: Journal Article
• Authors: Freitas, Elisabete F.; Martins, Francisco F.; Oliveira, Ana; Segundo, Iran Rocha; Torres, Hélder
• Is Part Of: Applied acoustics. Volume 138(2018)
• Page Start: 147
• Page End: 155
• Publication Date: 2018-09
• Subjects: Tyre-pavement noise -- Acoustic and psychoacoustic indicators -- Pavement distresses -- Data mining -- Support vector machines -- Artificial neural networks; Acoustical engineering -- Periodicals; Periodicals; 620.2
• DOI: 10.1016/j.apacoust.2018.03.019
• Languages: English
• ISSNs: 0003-682X

Abstract

Highlights: Tyre-pavement noise acoustic and psychoacoustic indicators were modelled. The effect of pavement distresses on noise was investigated. Support vector machines and artificial neural networks, were applied. Good predictive capacity of acoustic and psychoacoustic noise indicators was obtained. Pavement distresses influence strongly tyre-road noise. Pavements preventive maintenance can have an important effect on tyre-road noise. Abstract: 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 psychoacoustic noise indicators were obtained, constituting a precious tool to reduce the tyre-pavement noise. Moreover, the proposed models allowed for the assessment of the influence of the input parameters controlling noise such as: type of pavement, texture, speed and pavement distresses for the first time. It was found that pavement distresses and, as expected, speed influence strongly tyre-pavement noise. In this way it is clearly shown that preventive maintenance of road pavements by authorities, which eliminates distresses, can have an important effect on tyre-road noise, promoting the well-being of the populations.