Gru-cnn neural network method for regional traffic congestion prediction serving traffic diversion demand

HIGHLIGHTS

• who: Congestion Prediction Serving Traffic and colleagues from the College of Information and Control Engineering, Jilin Institute of Chemical Technology, Jilin, China have published the research work: GRU-CNN Neural Network Method for Regional Traffic Congestion Prediction Serving Traffic Diversion Demand, in the Journal: Wireless Communications and Mobile Computing 5th min of 21/09/2022
• what: This study proposes a spatiotemporal situation method based on the recurrent gated unit-convolutional neural network (GRU-CNN). From the perspective of the forecast duration and the category of the predicted traffic parameters, the method used in this model . . .
  

   

  

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