AUTOMATIC DETECTION AND NOTIFICATION OF POTHOLES AND HUMPS ON ROADS TO AID DRIVERS

The Indian subcontinent is the world’s second most populous Country and one of its fastest developing economically. Backwardness of roads is also one of the problems in the region. Roads are now the dominant form of transportation in India. In fact, it accounts for about 90 percent of the country’s total passenger transport and about 65 percent of the country’s total freight transport. Most of the roads in India are narrow and congested with poor surface quality and their maintenance needs are not satisfactorily met. Most of the rural non-tarred roads are in a shabby condition. Most of the roads either become muddy tracks in the rains or dusty tracks during the summer months. Indeed, in India, there are roads built with automatic barriers which control the traffic and flow at ramp sites. It would thus be highly essential to estimate how quickly a ramp could be deployed from an operational standpoint as part of the overall procedure of traffic management. All of these facts therefore highlight that there is different relevant material available on the general nature of undulatio and undulation detection of ramps in India. If the aforementioned are to be operated successfully and efficiently, then necessarily, the target has to be first identified successfully. It is done through filtering interal models with a confidence level in reducing accidents by taking into consideration the aspect of humps and potholes within the Indian landscape. Constant movement and high impact on structures cause depression stressing material reinforcement, ultimately leading to the formation of potholes.