Prediction and Impact Analysis of Passenger Flow in Urban Rail Transit in the Postpandemic Era
In the postpandemic era, exploring the relationship between the daily new COVID-19 cases and passenger flow in urban rail transit can help effectively predict the impact of future pandemic situations on rail transit. In this study, based on a gated recurrent unit (GRU) neural network model, the dail...
| Published in: | Journal of Advanced Transportation |
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| Main Authors: | , |
| Format: | Article |
| Language: | English |
| Published: |
Wiley
2023-01-01
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| Online Access: | http://dx.doi.org/10.1155/2023/3448864 |