Prediction and impact analysis of passenger flow in urban rail transit in the postpandemic era

HIGHLIGHTS

• who: Guifang Shi from the Nanjing, China have published the Article: Prediction and Impact Analysis of Passenger Flow in Urban Rail Transit in the Postpandemic Era, in the Journal: Journal of Advanced Transportation of 14/01/2023
• what: In this study based on a gated recurrent unit (GRU) neural network model the daily passenger fow in urban rail transit in the postpandemic era was predicted and the results were compared with those obtained using the long short-term memory (LSTM) neural network and other conventional time series analysis models such as SARIMA (seasonal autoregressive integrated . . .
  

   

  

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