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Prediction of Urban Taxi Travel Demand by Using Hybrid Dynamic Graph Convolutional Network Model
The efficient and accurate prediction of urban travel demand, which is a hot topic in intelligent transportation research, is challenging due to its complicated spatial-temporal dependencies, dynamic nature, and uneven distribution. Most existing forecasting methods merely considered the static spat...
| Autores principales: | , , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
MDPI
2022
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9415392/ https://www.ncbi.nlm.nih.gov/pubmed/36015740 http://dx.doi.org/10.3390/s22165982 |