An early warning system for traffic and road safety hazards using collaborative crowd sourcing

The increase in the number of vehicles running on the roads challenges the road maintenance department to meet the demand for timely repair of the road and therefore, find a unified solution to identify the road construction problems such as potholes, bumps, corrugations, waves, defective street cuts, etc. Without a better real-time traffic alerts system, efficient maintenance of city roads will be difficult. So, a more effective monitoring system is required for detecting and solving road infrastructure problems. This research work presents an analytical model of a system that detects pavement deformities. The system presents a mobile application that captures the accelerometer profile using the in-built accelerometer in smartphone, to obtain the location of pavement deformities. The variations in the accelerometer values with respect to the vehicle speed are taken into account.