RT Journal Article
SR 00
ID 10.1016/j.measurement.2019.06.034
A1 Ramos Romero, Carlos Andrés
A1 León Ríos, Pablo
A1 Al-Hadithi, Basil M.
A1 Sigcha, Luis
A1 Arcas Castro, Guillermo de
A1 Asensio Rivera, César
T1 Identification and mapping of asphalt surface deterioration by tyre-pavement interaction noise measurement
JF Measurement: Journal of the International Measurement Confederation
YR 2019
FD 2019-06-22
VO 146
SP 718
OP 727
K1 Tyre/road noise; Acoustic measurements; Pavement deterioration; Machine learning
AB This paper proposes a novel approach to detect the pavement surface deterioration using tyre/road noise produced from a sensorized test-vehicle during a regular driving. The acoustic data have shown to be relevant on automatic asphalt-damage classification. In this proof of concept, four classes of bituminous road-surface states were classified, showing very promising results. The application of this technique will allow automated inspection, geolocation and prioritization of roads or street areas that may need maintenance and repair, in addition to informing drivers or autonomous vehicles about road safety conditions in order to prevent accidents. With this approach any vehicle can easily become an asphalt status tester with the installation of a microphone, enabling the possibility to transform any fleet of vehicles into a networked signal acquisition system that may form part of the decision support of administrations in the management and maintenance of road infrastructures, at a very low cost.
PB Elsevier
SN 0263-2241
LK https://oa.upm.es/67182/
UL https://www.sciencedirect.com/science/article/pii/S0263224119306001?via%3Dihub