MGHCN: Multi-graph structures and hypergraph convolutional networks for traffic flow prediction

Accurate and timely traffic flow predictions are essential for effective traffic management and congestion reduction. However, most traditional prediction methods often fail to capture the complex dynamics and correlations within traffic flows due to insufficient processing of spatiotemporal data. S...

Ausführliche Beschreibung

Bibliografische Detailangaben

Hauptverfasser:	Xuanxuan Fan, Kaiyuan Qi, Dong Wu, Haonan Xie, Zhijian Qu, Chongguang Ren
Format:	Artigo
Sprache:	Inglês
Veröffentlicht:	Elsevier 2025-01-01
Schriftenreihe:	Alexandria Engineering Journal
Schlagworte:	Traffic flow prediction Graph convolutional network Hypergraph Multi-graph structure Spatiotemporal analysis
Online-Zugang:	http://www.sciencedirect.com/science/article/pii/S1110016824011773
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