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Pavement Roughness Evaluation with Smartphones

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Abstract (2. Language): 
Researchers have linked pavements roughness to acceleration signals derived from smartphones, due to its low cost, simple handling and high productivity. It would facilitate a continuous data collection which is important for Pavement Management Systems (PMS). However, there are doubts about the quality and the form of application of collected data. This study performs vibration and field tests with smartphones in pavements with different roughness levels. In this study, acceleration signals were measured by a smartphone attached to a vehicle dashboard, at different speeds. RMSVA values (Root Mean Square of Vertical Acceleration) were calculated with such data. The results were then compared with the IRI (International Roughness Index) of the same pavements through Rod and Level method. Data acquisition rate of smartphones was found to be the main factor affecting its application for pavement roughness evaluation. RMSVA values showed a positive correlation with IRI, having Pearson correlation coefficients above 0.95 and acceptable repeatability for network-level surveys, with average coefficient of variation of 3 to 6%. It was concluded that smartphones are a viable alternative for pavement roughness evaluations.
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