Threshold Based Efficient Road Monitoring System Using Crowdsourcing Approach

This paper describes a road monitoring system using crowdsourcing approach to locate potholes and speed breakers. The continuous monitoring of the real-time road anomalies allows acceptable infrastructure maintenance and management operation. For this purpose, a system has been described and different methods have been presented to monitor the conditions of the roads. The suggested system has a driver-friendly interface, demanding neither driver assisted training processes, nor complicated installation and thus it is conceivable to attain hassle-free mass deployment such that drivers would be willing to participate in crowdsourcing. Testing of the system is performed on hundreds of kilometers and it successfully locates the number of road anomalies. To find the accuracy of the proposed system dedicated sensors were installed on the vehicles. Furthermore, by comparing the results of both smartphone and dedicated sensors, it showed that the system reported 90% of the real road anomalies. Not only the system reports the presence of road anomalies, however, it also categorizes different types of potholes and speed breakers by analyzing depth, width and severity of anomalies. After the segregation of different types of anomalies, they are marked on to the map by using pointers of different colours. Along with addition of markers the system is efficient enough to remove the markers if a particular obstacle is repaired by the authorities. In addition, the system calculates the international roughness index of the roads as well.