Graph Neural Networks and Open-Government Data to Forecast Traffic Flow

Graph Neural Networks and Open-Government Data to Forecast Traffic Flow

Traffic forecasting has been an important area of research for several decades, with significant implications for urban traffic planning, management, and control. In recent years, deep-learning models, such as graph neural networks (GNN), have shown great promise in traffic forecasting due to their...

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Bibliographic Details
Main Authors: Petros Brimos, Areti Karamanou, Evangelos Kalampokis, Konstantinos Tarabanis
Format: Article
Language:English
Published: MDPI AG 2023-04-01
Series:Information
Subjects:
traffic flow forecasting
deep learning
graph neural networks
Artificial Intelligence
high-value data
open-government data
Online Access:https://www.mdpi.com/2078-2489/14/4/228

Internet

https://www.mdpi.com/2078-2489/14/4/228

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