Disentangled diffusion dodels for probabilistic spatio-temporal traffic forecasting
Abstract With the widespread deployment of traffic sensors and the continuous advancement of sensor technology, accurate traffic prediction has become increasingly feasible. However, existing traffic prediction methods face significant challenges in addressing the inherent uncertainty present in tra...
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| Main Authors: | , |
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| Format: | Article |
| Language: | English |
| Published: |
Springer
2025-06-01
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| Series: | Complex & Intelligent Systems |
| Subjects: | |
| Online Access: | https://doi.org/10.1007/s40747-025-01949-y |
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