Hybrid Graph Models for Traffic Prediction

Hybrid Graph Models for Traffic Prediction

Obtaining accurate road conditions is crucial for traffic management, dynamic route planning, and intelligent guidance services. The complex spatial correlation and nonlinear temporal dependence pose great challenges to obtaining accurate road conditions. Existing graph-based methods use a static ad...

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Bibliographic Details
Main Authors:	Renyi Chen, Huaxiong Yao
Format:	Article
Language:	English
Published:	MDPI AG 2023-07-01
Series:	Applied Sciences
Subjects:	traffic prediction graph neural network attention
Online Access:	https://www.mdpi.com/2076-3417/13/15/8673

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