Spatial-temporal hypergraph convolutional network for traffic forecasting
Accurate traffic forecasting plays a critical role in the construction of intelligent transportation systems. However, due to the across road-network isomorphism in the spatial dimension and the periodic drift in the temporal dimension, existing traffic forecasting methods cannot satisfy the intrica...
Main Authors: | , , , , |
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Format: | Article |
Language: | English |
Published: |
PeerJ Inc.
2023-07-01
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Series: | PeerJ Computer Science |
Subjects: | |
Online Access: | https://peerj.com/articles/cs-1450.pdf |