Application of Smartphones in Pavement Profile Estimation Using SDOF Model-Based Noisy Deconvolution

The new generation of smartphones, equipped with various sensors, such as a three-axis accelerometer, has shown potential an intelligent, low-cost monitoring platform over the past few years. This paper reports results analytical and experimental study on proposed SDOF model-based noisy deconvolution (SMND) coupled deechoing technique to estimate pavement profiles modify their geometry using smartphone inside vehicle. In study, acceleration response car was obtained, where input road profile arbitrary pattern. Two different methods, classical band-pass filter wavelet-denoising technique, were used for denoising response. 2-step process extracted compared original profile, demonstrating good agreement. next step, parametric performed evaluate effect vehicle characteristics speeds. Then, case conducted in Blacksburg, VA, capability method identifying types potholes speed bumps. acceleration-versus-time responses vertical direction recorded accelerometers located moving approach applied remove echo dynamics effects obtain geometry. showed that can from even if are changed.