Work

Model for Passenger Demand Prediction in a Public Transportation Company in Peru Using Machine Learning Algorithms

Year: 2025

Type: conference-paper

Source: International Conference on Artificial Intelligence and Big Data (ICAIBD)

DOI: 10.1109/icaibd64986.2025.11082031

Authors: Wendy Villanueva, Melvin Torero, José Luis Castillo-Sequera, Lenis Wong

Institutions: Peruvian University of Applied Sciences, Universidad de Alcalá

Language: English

Topic: Transportation Planning and Optimization

Subfield: Transportation

Field: Social Sciences

Domain: Social Sciences

SDGs: Industry, innovation and infrastructure, Sustainable cities and communities

Open Access status: closed

OpenAlex ID: W4412537331

FWCI:

Cites: 10

Cited by:

Related to: 10