Modelamiento de la operación del corredor exclusivo de Transmilenio en la avenida Caracas entre calle 45 y calle 53 mediante el uso de big data

Abstract

This work aims to develop a model based on Big Data to analyze the dynamics of the exclusive Transmilenio corridor on Avenida Caracas, between Calle 45 and Calle 53, centered on the “Calle 45 – American School Way” station in order to generate substantiated recommendations that allow improving fleet distribution and traffic management in real time, using data processed with Machine Learning to predict the number of people according to the time of day, the number of buses in operation and their impact on the transportation system. The behavior of the system is compared in two weeks of October and January to evaluate the performance of the model in different conditions and the influence of climatic factors, such as rainfall, is also reviewed to review how external factors influence the analysis.