2D Spatiotemporal Hypergraph Convolution Network for Dynamic OD Traffic Flow Prediction
Predicting origin-destination (OD) flow presents a significant challenge in intelligent transportation due to the intricate dynamic correlations between starting points and destinations. Although existing OD prediction methodologies leveraging graph neural networks have demonstrated commendable perf...
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| Main Authors: | , |
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| Format: | Article |
| Language: | English |
| Published: |
Wiley
2025-01-01
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| Series: | International Journal of Digital Multimedia Broadcasting |
| Online Access: | http://dx.doi.org/10.1155/ijdm/7220522 |
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