Desarrollo e implementación de un analizador de tráfico vehicular basado en la obtención y tratamiento de los datos contenidos en mapas geográficos con información de flujo vehicular georreferenciados

Abstract

Nowadays, traffic congestion is a problem addressed on a global scale, the same one that causes a low efficiency in transport systems, pollution and loss in travel times, affecting the population in general. To analyze this problem, the development and implementation of a vehicular traffic analyzer is proposed, which allows to obtain information, in real time, of the vehicular flow present in places of greater automobile concurrency determined by the user. This tool monitors, examines, provides and validates vehicle flow information due to the obtaining and treatment of data contained in geographic maps from the Google Maps server, by handling the URL request and the digital image captured from the geographical map visualized. With an appropriate image treatment, the vehicle flow represented by color codes defined by Google Maps is extracted. The data extracted from the image capture are converted and georeferenced to geographic coordinate systems, this information is stored inside a data table. Finally, with the stored records, graphic reports of vehicular traffic are created or exported as historical data of vehicular traffic.