Estimation of road condition using Smartphone sensors via C4.5 and AES 256 algorithm

Abstract

Nowadays every smart phone is integrated with many helpful sensors. Sensors are originally design to make
the computer program and application convenient. The smart phone sensors like Gyroscope and Accelerometer are used
to estimate road roughness conditions. The collected data is from sensor and easy to manage value in the frequency
domain to calculate magnitudes of vibrations. Well maintained roads contribute to a significant portion of countries
economy. Roadsense application provides information about rules and regulations (Vehicle Papers, Parking Rule,
Distraction While Driving) to be followed while driving the vehicle. Throughout this paper, we discuss the previous hole
detections ways in which has been developed and process a worth effective answers to identify the potholes and bumps
on the roads. In our application mobile sensors are accustomed establish potholes and the bumps. The proposed system
captures the geographical locations of potholes and bumps using GPS sensor among the mobile. These sense data sent
for classification and uses algorithm C4.5, AES256 then this data sends for further processing. Finally the data is send to
the vehicle driver. An android can be used to display the road condition in the map.