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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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Bibliografische gegevens
Hoofdauteurs: Nihad Brahimi, Huaping Zhang, Syed Danial Asghar Zaidi, Lin Dai
Formaat: Artigo
Taal:Inglês
Gepubliceerd in: MDPI AG 2024-02-01
Reeks:Sensors
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Online toegang:https://www.mdpi.com/1424-8220/24/4/1266
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