Machine Learning Applied to Last Mile Operations: Applying Machine Learning Models for Stops Classification in Urban Logistics

Conference Object

Abstract: This study analyzes urban freight GPS data to achieve more efficient public policies and better last

Palabras claves:

CLÚSTER, Geospatial data analysis, HDBSCAN, K-Means, Last mile operations, Machine learning, urban logistics

Autores:

Bernardo Puente-Mejia, Carlos Alberto Suárez-Núñez, Daniel Masaquiza, David Calahorrano, Martin Gavilanes

Fuentes:

scopus