Short-term inbound rail transit passenger flow prediction based on BILSTM model and influence factor analysis
Accurate and real-time passenger flow prediction of rail transit is an important part of intelligent transportation systems (ITS). According to previous studies, it is found that the prediction effect of a single model is not good for datasets with large changes in passenger flow characteristics and...
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| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
Maximum Academic Press
2023-02-01
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| Series: | Digital Transportation and Safety |
| Subjects: | |
| Online Access: | https://www.maxapress.com/article/doi/10.48130/DTS-2023-0002 |
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