• G. Vidya Sagar
• V. Annapurna

Monitoring of the road condition has acquired a critical significance during recent years. Different reasons behind broadening research on this field are: to start with, it will guarantee safety and comfort to different road users; second, smooth streets will cause less damage to the car. Here motivate to create a real-time Android Application Road Sense it will show the road location trace on a geographic map using GPS and save all recorded workout entries, automatically predicts the quality of the road based on gyroscope and tri-axial accelerometer. Decision tree C4.5 classifier is applying on training data to classify road segments and to build proposed model. That show experimental results consistent accuracy of 97.6%. By using of this approach, expect to a quality road maps of a selected regions visualize. Hence, it can provide feedback to local authorities and drivers. Besides, benefit to Road Manager from proposed system to evaluating the state of particular road networks and make a checkup on road construction projects, whether they meet or not the required quality.

Smartphone, Road monitoring, Accelerometer, Gyroscope, Pothole, Real time, Machine learning, Android

"ANDROID APPLICATION FOR POTHOLE DETECTION ON ROAD USING EMBEDDED SENSORS IN SMARTPHONES", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.5, Issue 7, page no.430-433, July-2018, Available :http://www.jetir.org/papers/JETIR1807782.pdf

"ANDROID APPLICATION FOR POTHOLE DETECTION ON ROAD USING EMBEDDED SENSORS IN SMARTPHONES", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.5, Issue 7, page no. pp430-433, July-2018, Available at : http://www.jetir.org/papers/JETIR1807782.pdf