[V-454] Estimation of Road Profile by a Inclination and Dynamic Response of a Bicycle
Keywords:road profile, city cycle, pavement condition assessment, Kalman filter, smartphone
To evaluate long-distance bicycle lanes, existing pavement surface monitoring techniques are not applicable, quantitative, or efficient. In this paper, a simple and accurate road profile estimation system was developed using a bicycle and a smartphone. A Kalman filter algorithm integrates multiple sensor data to estimate the profile. The accuracy of the proposed algorithm was experimentally evaluated on a test course. As a result, the coefficient of the determination of the estimated profile with the measured profile by a road profiler was above 0.81 and IRI error was below 14% in the wide spatial frequency range, between 0.02-2(1/m).
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