A Deep Graph Neural Network Approach for Assessing Origin Destination Traffic Flow Estimates Based on COVID-19 Data

Origin-Destination (OD) traffic flow estimations from traffic sensor data play an important role for transportation planning and management. This paper proposes a novel method to compare OD traffic estimated matrices (using data from traffic sensors). The proposed method uses the estimated OD traffi...

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Principais autores:	Mario Munoz-Organero, Victor Corcoba-Magana
Format:	Artigo
Jezik:	Inglês
Izdano:	IEEE 2024-01-01
Serija:	IEEE Access
Teme:	Intelligent systems for traffic prediction traffic modeling traffic flow modeling machine learning artificial intelligence prior OD traffic flow estimation
Online dostop:	https://ieeexplore.ieee.org/document/10640086/
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