A multi-sensory stimulating attention model for cities’ taxi service demand prediction
Abstract Taxi demand forecasting is crucial to building an efficient transportation system in a smart city. Accurate taxi demand forecasting could help the taxi management platform to allocate taxi resources in advance, alleviate traffic congestion, and reduce passenger waiting time. Thus, more effo...
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| Principais autores: | , , , , , |
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| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
Nature Portfolio
2022-02-01
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| Colecção: | Scientific Reports |
| Acesso em linha: | https://doi.org/10.1038/s41598-022-07072-z |
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