Desarrollo de una aplicación Web, para el análisis y predicción del flujo de personas, aplicado al transporte urbano de la ciudad de Cañar

Abstract

Guaranteeing a monitored public transport that through different alternatives can avoid congestion on the roads, the increase in environmental pollution, the delay in the arrival of users, these being the main factors that to affect in citizens in their day to day. This technical project presents solutions to the previous problem focused on the count of civilians through their mobile devices and making a prediction based on LSTM neural networks.