  The study focuses on the experiment of using three different smartphones to
collect acceleration data from vibration for the road roughness detection. The
Android operating system is used in the application. The study takes place on
asphaltic pavement of the expressway system of Thailand, with 9 km distance.
The run vehicle has an inertial profiler with laser line sensors to record road
roughness according to the IRI. The RMS and Machine Learning (ML) methods are
used in this study. There is different ability of each smartphone to detect the
vibration, thus different detected values are obtained. The results are
compared to the IRI observation. ML method gives better result compared to RMS.
This study finds little relationship between IRI and acceleration data from
vibration collected from smartphones.
