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CACRNN: A Context-Aware Attention-Based Convolutional Recurrent Neural Network for Fine-Grained Taxi Demand Prediction
As taxis are primary public transport in metropolises, accurately predicting fine-grained taxi demands of passengers in real time is important for guiding drivers to plan their routes and reducing the waiting time of passengers. Many efforts have been paid to provide accurate taxi demand prediction,...
| Autores principales: | , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
2020
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7206181/ http://dx.doi.org/10.1007/978-3-030-47426-3_49 |