TY  - JOUR
JF  - Measurement: Journal of the International Measurement Confederation
KW  - Tyre/road noise; Acoustic measurements; Pavement deterioration; Machine learning
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
ID  - upm67182
UR  - https://www.sciencedirect.com/science/article/pii/S0263224119306001?via%3Dihub
SN  - 0263-2241
EP  - 727
TI  - Identification and mapping of asphalt surface deterioration by tyre-pavement interaction noise measurement
Y1  - 2019/06/22/
N2  - 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.
VL  - 146
PB  - Elsevier
AV  - restricted
SP  - 718
ER  -