Image Inpainting and Deep Learning to Forecast Short-Term Train Loads

Image Inpainting and Deep Learning to Forecast Short-Term Train Loads

Developing an efficient short-term prediction framework for public transportation systems is of fundamental importance. This paper proposes a new image-processing-oriented methodology for the short-term prediction of train loads. First, we introduce a novel approach for representing the metro traffi...

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Bibliographic Details
Main Authors: Thomas Bapaume, Etienne Come, Jeremy Roos, Mostafa Ameli, Latifa Oukhellou
Format: Article
Language:English
Published: IEEE 2021-01-01
Series:IEEE Access
Subjects:
Short-term forecasting
U-net
deep learning
inpainting
image-to-image regression
public transport
Online Access:https://ieeexplore.ieee.org/document/9469806/

Internet

https://ieeexplore.ieee.org/document/9469806/

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