Machine Learning for public transportation demand prediction: A Systematic Literature Review
Abstract Within the Intelligent Public Transportation Systems (IPTS) field, the prediction of
public transportation demand is a key point for enhancing the quality of the services. These …
public transportation demand is a key point for enhancing the quality of the services. These …
A data-driven prioritisation framework to mitigate maintenance impact on passengers during metro line operation
A Consilvio, G Vignola, P López Arévalo… - European Transport …, 2024 - Springer
The application of artificial intelligence (AI) techniques may lead to significant improvements
in different aspects of rail sector. Considering asset management and maintenance, AI can …
in different aspects of rail sector. Considering asset management and maintenance, AI can …
A Reference Architecture for Data-Driven Intelligent Public Transportation Systems
FR di Torrepadula, S Di Martino… - IEEE Open Journal …, 2024 - ieeexplore.ieee.org
Smart cities include complex ICT ecosystems, whose definition requires the cooperation of
several software systems. Among them, Intelligent Public Transportation Systems (IPTS) aim …
several software systems. Among them, Intelligent Public Transportation Systems (IPTS) aim …
[PDF][PDF] Short summary
F Gallo, F Corman - transp-or.epfl.ch
This work presents a methodology to model the passenger boardings at transfer stops,
which considers both the passengers that reach the stop on their own from the external (eg …
which considers both the passengers that reach the stop on their own from the external (eg …