Abstract
This paper describes new interrogation technique of road condition using accelerometer mounted on the commercial driving recorder (DR). Output from the accelerometer is very big data and difficult to evaluate and extract the meaningful information. In this study, big output data was separated to small segments and processed with FFT. After that, each data was evaluated with correlation function analysis. As a result, we confirm that the mapping distribution of correlation function analysis was remarkably related to the smoothness of the load.
