Published Paper Details:

Potholes are a major obstacle for road transport which greatly affect the commute time and comfort. Detecting and locating the potholes ensures a better commute and helps in preventing any possible fatalities. The system would be installed on a vehicle and would perform the function of road surface monitoring, using the inherent mobility of the vehicle. The system would consist of a sensing unit, micro-controller unit and a GPS subsystem. The sensing unit consists of accelerometers, deployed at specific positions which would help them make use of the accelerations generated during the motion of the vehicle. The data generated from the accelerometers would indicate the presence of potholes or severe road surface anomalies. The micro-controller unit then collects the data, which is then processed utilizing the Machine Learning algorithms. This onerous task of data processing, leads to the distinguished possibilities of pothole detection or vibrations generated due to a severe lateral unevenness on the surface of the road. At the time of the detection, the GPS unit logs the co-ordinates of that location, which then can be represented on a map and shared through a mobile application, enabling the users to choose alternative ways depending on the conditions of the road in their respective routes of travel.