Assessment of Pothole and Accuracy of Selected Method

Road distress like cracks, potholes and settlement of sub-grade is rising due to climatic variations such as heavy rains, cyclic changes in temperature because of global warming and use of conventional method for road construction. India is having a significant concern in this segment. The conventional road surface management systems are becoming impaired in front of traffic density and condition of roads, which is weakening day by day. Compared to previous years in India, the year 2017 has 50% hike in number of road accidents occurring due pothole related issues. Lot of research is been done for repair of potholes but is lacking in its application. It is prominent and essential to develop techniques with rapid pothole detection having significant accuracy and in minimum expense. India is a vast country with more than 55 lacks kilometres of road networks and it is not at all feasible to access pothole damaged roads without a relevant technology. In this study efforts are been taken to implement remote sensing and GIS techniques in rapid pothole detection and their volume calculation. Data collection for case study is done using ODK Collect and analysed in QGIS software for pothole detection; while for cost optimization, volume is been calculated measured depth and calculated area in Auto CAD software. The information extracted by application of remote sensing and GIS will not only ensure the time-saving pothole detection but also can achieve cost optimization through optimum budget estimation of repair materials.