A Unified Spatio-Temporal Inference Network for Car-Sharing Serial Prediction
Car-sharing systems require accurate demand prediction to ensure efficient resource allocation and scheduling decisions. However, developing precise predictive models for vehicle demand remains a challenging problem due to the complex spatio-temporal relationships. This paper introduces USTIN, the U...
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| Auteurs principaux: | , , , |
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| Format: | Artigo |
| Langue: | Inglês |
| Publié: |
MDPI AG
2024-02-01
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| Collection: | Sensors |
| Sujets: | |
| Accès en ligne: | https://www.mdpi.com/1424-8220/24/4/1266 |
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