Region-Level Traffic Prediction Based on Temporal Multi-Spatial Dependence Graph Convolutional Network from GPS Data

Region-Level Traffic Prediction Based on Temporal Multi-Spatial Dependence Graph Convolutional Network from GPS Data

Region-level traffic information can characterize dynamic changes of urban traffic at the macro level. Real-time region-level traffic prediction help city traffic managers with traffic demand analysis, traffic congestion control, and other activities, and it has become a research hotspot. As more ve...

Bibliografski detalji
Glavni autori:	Haiqiang Yang, Xinming Zhang, Zihan Li, Jianxun Cui
Format:	Članak
Jezik:	English
Izdano:	MDPI AG 2022-01-01
Serija:	Remote Sensing
Teme:	region-level traffic traffic prediction temporal and spatial graph convolutional network
Online pristup:	https://www.mdpi.com/2072-4292/14/2/303

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