SDSCNN: A Hybrid Model Integrating Static and Dynamic Spatial Correlation Neural Network for Traffic Prediction
Traffic flow prediction is of great significance for traffic control, and it has been challenging for capturing the complex spatial-temporal correlation. However, most existing prediction methods only consider the spatial adjacency of the nodes (i.e., static spatial correlation), lacking sufficient...
Main Authors: | , , , , , |
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Format: | Article |
Language: | English |
Published: |
IEEE
2022-01-01
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Series: | IEEE Access |
Subjects: | |
Online Access: | https://ieeexplore.ieee.org/document/9953093/ |