A mobile application for crowdsourced road condition monitoring

Abstract

An Android App has been developed to measure geo-tagged vehicle-induced vibrations with the use of the built-in accelerometer of a mobile phone. The architecture of the app is designed in such a way that it can be published as a crowdsourced vehicle-induced vibration measurement data collection app. A simple calibration method has been developed to calibrate each individual axis of the accelerometer to get rid of imperfections within the three axes. The system is evaluated for extracting data of vibrations for a known system (simple pendulum) and the same system was tested for vehicle induced-vibration capturing. The results produced from the system during the test run correctly classified different road conditions. Once the crowdsourced data is available, a more statistically significant prediction could be performed.