Satellite monitoring system to determine critical regions in a terrestrial transport route by applying supervised learning techniques

At present, the use of satellite monitoring systems involves much more than the storage of historical data. Because with proper processing, these large volumes of data can provide new, relevant, useful information of great importance to transport companies. Allowing companies to have information on the incidents in the vehicular displacement, to assess the level of security of the transport services provided. For this, it is necessary that all existing incidents or risks are counted and/or detected. In the present article a satellite monitoring system is presented for the determination of critical regions in terrestrial transport routes, the same one that was conceived from the use of supervised learning techniques. The analysis carried out starts from the structure of the standardized historical reports that correspond to the monitoring of vehicular units. These reports were generated by a current system of consultation and monitoring in real time. Therefore, through the use of these techniques it was possible to achieve the discovery of knowledge stored in databases.