Road Characterization for Digital Maps

This study aims at solving the social problem of accidents due to unavoidable weather conditions and bad roads. A dynamic update of the state of roads is very essential for monitoring the safety in a civic sense as well as driver comfort. This study derives a system that is recursive and smart enough to read the inconsistency via accelerometer and analyze it. It has an interface of global positioning system (GPS) to map the coordinates of the inconsistency and wirelessly transmit it to an off-board processor. The same data is then saved in a database and the vehicle is alerted about the forthcoming inconsistency. This system is adaptable to learn new inconsistencies and erase the previous ones if its existence is disproved with further trials. Thus, being recursive and independent of human interface it is a novel system with minimum maintenance.