Short-term passenger flow prediction of urban rail transit based on a combined deep learning model

HIGHLIGHTS

• who: Zhongwei Hou et al. from the State Key Laboratory of Mountain Bridge and Tunnel Engineering, Chongqing, China School of Civil Engineering, Chongqing Jiaotong University, Chongqing, China have published the article: Short-Term Passenger Flow Prediction of Urban Rail Transit Based on a Combined Deep Learning Model, in the Journal: (JOURNAL)
• what: On the basis of previous studies, this paper proposes a model combining the time convolution network (TCN) with the long short-term memory network (LSTM) to predict the short-term passenger flow of URT based on the inbound and outbound passenger flow data . . .
  

   

  

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