DeepPF: A deep learning based architecture for metro passenger flow prediction
This study aims to combine the modeling skills of deep learning and the domain knowledge
in transportation into prediction of metro passenger flow. We present an end-to-end deep …
in transportation into prediction of metro passenger flow. We present an end-to-end deep …
DeepPF: A deep learning based architecture for metro passenger flow prediction
Y Liu, Z Liu, R Jia - Transportation Research Part C: Emerging …, 2019 - trid.trb.org
This study aims to combine the modeling skills of deep learning and the domain knowledge
in transportation into prediction of metro passenger flow. The authors present an end-to-end …
in transportation into prediction of metro passenger flow. The authors present an end-to-end …
DeepPF: A deep learning based architecture for metro passenger flow prediction
Y Liu, Z Liu, R Jia - Transportation Research Part C …, 2019 - ui.adsabs.harvard.edu
A deep-learning-based metro passenger flow prediction architecture. Multilayer deep-
learning architecture which combine LSTM and FC, etc. External factors, temporal, spatial …
learning architecture which combine LSTM and FC, etc. External factors, temporal, spatial …
DeepPF: A deep learning based architecture for metro passenger flow prediction
Y Liu, Z Liu, R Jia - 2019 - worldtransitresearch.info
This study aims to combine the modeling skills of deep learning and the domain knowledge
in transportation into prediction of metro passenger flow. We present an end-to-end deep …
in transportation into prediction of metro passenger flow. We present an end-to-end deep …