Identification of Road Distresses and Traffic Condition Through Smartphone

Abstract

One of the most serious issues in developing countries is road maintenance. Every year thousands of people lose life due to the failure in road maintenance. Road damage causes severe issues for drivers such as trip efficiency, car value, and even driving safety. In some circumstances, road degradation causes accidents that result in death. Currently, road damage detection research is expanding and presenting new ways such as the use of an accelerometer sensor. However, because of the inability to function in real-time and bad implementation, the implementations suffer from a lack of precision. Well-maintained roadways contribute significantly to the country's economy. Identification of road distress, such as potholes and bumps, assists drivers in avoiding accidents and vehicle damage, as well as assisting authorities in road maintenance. A cost-effective technique with an appropriate level of accuracy and the least amount of labor is always ideal for road distress assessment study. And smartphones give all of these via various types of sensors. The purpose of this study is to investigate the usage of smartphone apps to assess the discomfort of the road body, which directly reflects the road condition. The study investigates the source of vehicle trouble on the road. The research and observations obtained by the suggested approach for road condition evaluation were compared with a set of road infrastructure data collected by smartphone application employing sensors such as gyroscope, accelerometer, GPS, and so