Un sistema basado en IOT integrado eficiente para predecir las condiciones del tráfico para la selección de rutas de los pasajeros

Abstract

This project solves the traffic conditions that could occur on the route to take to a destination that the passenger or driver has chosen, this was achieved through an application based on an IOT system, which gave alternate routes before the traffic problem in the city of Quito; this application was based on a cross-platform hybrid language, developed in Dart which worked together with Kotlin, on the other hand, the data was extracted from the Google repository so geolocation information could be obtained; In terms of event reports and search for alternate routes, the BESTR application stored the events provided by the user of the mobile application in the Firebase database, while the alternate routes were extracted from the Google repository from where the data is obtained. start - end point; giving us as a result a mobile application that enabled the user to search for alternate routes in the face of vehicular traffic and in turn made it possible to create events in real time or predict events on the route, which were helpful to other users of the application; In conclusion, the application was a solution option for vehicular traffic; that is to say, it helped with saving arrival time depending on the route to be taken, taking as an example the start point (Hospital del Sur) - end point (middle of the world) that managed to have an average time saving of 15.5 min on its destination journey by using BESTR, which enabled alternate route finding and event prediction.