Synthesizing traffic datasets using graph neural networks

Traffic congestion in urban areas presents significant challenges, and Intelligent Transportation Systems (ITS) have sought to address these via automated and adaptive controls. However, these systems often struggle to transfer simulated experiences to real-world scenarios. This paper introduces a n...

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Bibliographic Details
Main Authors: Daniel Rodriguez-Criado, Maria Chli, Luis J Manso, George Vogiatzis
Format: Default Conference proceeding
Published: 2024
Subjects:
Image color analysis
Graph neural networks
Data augmentation
Online Access:https://hdl.handle.net/2134/26484763.v1
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