Desarrollo de un algoritmo de clasificación de los patrones movilidad de la población de la ciudad de Cuenca mediante técnicas de aprendizaje automático

Abstract

The graduation project focuses on developing a classification tree algorithm to analyze mobility patterns based on geospatial data from various means of transportation. Concepts such as machine learning, the mobility system of Cuenca, and the detailed development of the algorithm, including results analysis and predictions, are addressed.