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- W3107940265 abstract "• Road-pavement surface monitoring, distresses classification and measurement. • Comparison of crowdsensing-based monitoring technologies and visual inspections. • Efficiency and effectiveness of road-pavement surveys for optimal maintenance. Pavement-surface characteristics should be considered during road maintenance for safe and comfortable driving. A detailed and up-to-date report of road-pavement network conditions is required to optimize a maintenance plan. However, manual road inspection methods, such as periodic visual surveys, are time-consuming and expensive. A common technology used to address this issue is SmartRoadSense, a collaborative system for the automatic detection of road-surface characteristics using Global Positioning System receivers and triaxial accelerometers contained in mobile devices. In this study, the results of the SmartRoadSense surveys conducted on Provincial Road 2 (SP2) in Salerno, Italy, were compared with the Distress Cadastre data for the same province and the pavement condition indices of different sections of the SP2. Although the effectiveness of the crowdsensing-based SmartRoadSense was found to vary with the distress type, the system was confirmed to be very efficient for monitoring the most critical road failures." @default.
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- W3107940265 date "2021-02-01" @default.
- W3107940265 modified "2023-10-03" @default.
- W3107940265 title "Surface monitoring of road pavements using mobile crowdsensing technology" @default.
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- W3107940265 doi "https://doi.org/10.1016/j.measurement.2020.108763" @default.
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