Identification and mapping of asphalt surface deterioration by tyre-pavement interaction noise measurement

Ramos Romero, Carlos Andrés and León Ríos, Pablo and Al-Hadithi, Basil M. and Sigcha, Luis and Arcas Castro, Guillermo de and Asensio Rivera, César (2019). Identification and mapping of asphalt surface deterioration by tyre-pavement interaction noise measurement. "Measurement: Journal of the International Measurement Confederation", v. 146 ; pp. 718-727. ISSN 0263-2241. https://doi.org/10.1016/j.measurement.2019.06.034.

Description

Title: Identification and mapping of asphalt surface deterioration by tyre-pavement interaction noise measurement
Author/s:
  • Ramos Romero, Carlos Andrés
  • León Ríos, Pablo
  • Al-Hadithi, Basil M.
  • Sigcha, Luis
  • Arcas Castro, Guillermo de
  • Asensio Rivera, César
Item Type: Article
Título de Revista/Publicación: Measurement: Journal of the International Measurement Confederation
Date: 22 June 2019
ISSN: 0263-2241
Volume: 146
Subjects:
Freetext Keywords: Tyre/road noise; Acoustic measurements; Pavement deterioration; Machine learning
Faculty: E.T.S.I. Diseño Industrial (UPM)
Department: Ingeniería Eléctrica, Electrónica Automática y Física Aplicada
Creative Commons Licenses: Recognition - No derivative works - Non commercial

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Abstract

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.

More information

Item ID: 67182
DC Identifier: https://oa.upm.es/67182/
OAI Identifier: oai:oa.upm.es:67182
DOI: 10.1016/j.measurement.2019.06.034
Official URL: https://www.sciencedirect.com/science/article/pii/S0263224119306001?via%3Dihub
Deposited by: Memoria Investigacion
Deposited on: 24 May 2021 10:32
Last Modified: 24 May 2021 10:32
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