This project was intended to demonstrate an automatic system for detecting anomalies on the road surface using data from a noise dosimeter and a vibration dosimeter, both of which were synchronised with a smartphone with a geo-locator (GPS). There have been studies on this subject, primarily to identify objects in the subsoil or to recognise the stratigraphy of bituminous conglomerates that make up asphalt road paving, but no one has looked into the possibility of identifying road surface anomalies through the analysis of sound pressure levels or acceleration levels that can be registered on board a vehicle that runs along a stretch of road. This survey approach, once tested and validated, allows for the identification of road abnormalities in a specific route using a single survey and the combined use of measuring instruments.
Author(S) Details
Vincenzo Barone
Dipartimento di Ingegneria Civile DINCI, Università della Calabria, Cosenza, Italy.
Domenico Walter Edvige Mongelli
Dipartimento di Ingegneria Civile DINCI, Università della Calabria, Cosenza, Italy.
Antonio Tassitani
Dipartimento di Ingegneria Civile DINCI, Università della Calabria, Cosenza, Italy.
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