A Reproducible Pipeline for Leveraging Operational Data Through Machine Learning in Digitally Emerging Urban Bus Fleets

A Reproducible Pipeline for Leveraging Operational Data Through Machine Learning in Digitally Emerging Urban Bus Fleets

The adoption of predictive maintenance in public transportation has gained increasing attention in the context of Industry 4.0. However, many urban bus fleets remain in early digital transformation stages, with limited historical data and fragmented infrastructures that hinder the implementation of...

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Bibliographic Details
Main Authors: Bernardo Tormos, Vicente Bermudez, Ramón Sánchez-Márquez, Jorge Alvis
Format: Article
Language:English
Published: MDPI AG 2025-07-01
Series:Applied Sciences
Subjects:
urban bus fleets
machine learning
data scarcity
data-driven maintenance
fleet digitalization
scheduled batch retraining
Online Access:https://www.mdpi.com/2076-3417/15/15/8395
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