eprintid: 67182 rev_number: 15 eprint_status: archive userid: 1903 dir: disk0/00/06/71/82 datestamp: 2021-05-24 10:32:09 lastmod: 2021-05-24 10:32:09 status_changed: 2021-05-24 10:32:09 type: article metadata_visibility: show creators_name: Ramos Romero, Carlos Andrés creators_name: León Ríos, Pablo creators_name: Al-Hadithi, Basil M. creators_name: Sigcha, Luis creators_name: Arcas Castro, Guillermo de creators_name: Asensio Rivera, César creators_id: luisfrancisco.sigcha@upm.es creators_id: casensio@i2a2.upm.es title: Identification and mapping of asphalt surface deterioration by tyre-pavement interaction noise measurement publisher: Elsevier rights: by-nc-nd ispublished: pub subjects: industrial subjects: robotica full_text_status: restricted keywords: Tyre/road noise; Acoustic measurements; Pavement deterioration; Machine learning 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. date_type: published date: 2019-06-22 publication: Measurement: Journal of the International Measurement Confederation volume: 146 pagerange: 718-727 id_number: 10.1016/j.measurement.2019.06.034 institution: ETSI_Diseno department: Ingenieria_electrica_2014 refereed: TRUE issn: 0263-2241 official_url: https://www.sciencedirect.com/science/article/pii/S0263224119306001?via%3Dihub citation: 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 . document_url: https://oa.upm.es/67182/1/INVE_MEM_2019_335203.pdf