Checkpoint data-driven GCN-GRU vehicle trajectory and traffic flow prediction

Checkpoint data-driven GCN-GRU vehicle trajectory and traffic flow prediction

Abstract With the development of information technology, massive traffic data-driven short-term traffic situation analysis of urban road networks has become a research hotspot in urban traffic management. Accurate vehicle trajectory and traffic flow prediction can provide technical support for vehic...

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Bibliographic Details
Main Authors:	Deyong Guan, Na Ren, Ke Wang, Qi Wang, Hualong Zhang
Format:	Article
Language:	English
Published:	Nature Portfolio 2024-12-01
Series:	Scientific Reports
Subjects:	Vehicle trajectory prediction Traffic flow forecast Checkpoint data Graph Convolutional Neural Networks Gated Recurrent Units
Online Access:	https://doi.org/10.1038/s41598-024-80563-3
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