Time-Evolving Graph Convolutional Recurrent Network for Traffic Prediction

Time-Evolving Graph Convolutional Recurrent Network for Traffic Prediction

Accurate traffic prediction is crucial to the construction of intelligent transportation systems. This task remains challenging because of the complicated and dynamic spatiotemporal dependency in traffic networks. While various graph-based spatiotemporal networks have been proposed for traffic predi...

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Bibliographic Details
Main Authors: Weimin Mai, Junxin Chen, Xiang Chen
Format: Article
Language:English
Published: MDPI AG 2022-03-01
Series:Applied Sciences
Subjects:
traffic prediction
spatiotemporal network
graph convolutional network
time-evolving graphs
graph generation
Online Access:https://www.mdpi.com/2076-3417/12/6/2842

Internet

https://www.mdpi.com/2076-3417/12/6/2842

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