Road surface prediction from acoustical measurements in the tire cavity using support vector machine

@inproceedings{Masino2017RoadSP,
  title={Road surface prediction from acoustical measurements in the tire cavity using support vector machine},
  author={Johannes Masino and Julien Pinay and Markus Reischl and Frank Gauterin},
  year={2017}
}
Abstract Traffic noise has large consequences on the appreciation of the living quality close to roads and leads to speech interference, sleep disturbances, and general annoyance. Furthermore, it impacts the economy as it increases the costs for noise abatement and decreases the value of properties, which are close to noisy road transport infrastructure. However, existing methods to measure tire/road noise lack in mobility, in the possibility of measuring comprehensively, and are expensive and… CONTINUE READING
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