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Forecasting metro rail transit passenger flow with multiple-attention deep neural networks and surrounding vehicle detection devices
In the rapid development of public transportation led, the traffic flow prediction has become one of the most crucial issues, especially estimating the number of passengers using the Mass Rapid Transit (MRT) system. In general, predicting the passenger flow of traffic is a time-series problem that r...
| Autores principales: | , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Springer US
2023
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9892681/ https://www.ncbi.nlm.nih.gov/pubmed/36748053 http://dx.doi.org/10.1007/s10489-023-04483-x |