Trip generation prediction based on the convolutional neural network-multidimensional long-short term memory neural network model at grid cell scale

HIGHLIGHTS

• who: TIANZHENG XIAO and collaborators from the Institute of Transportation Engineering, Tsinghua University, Beijing, China have published the Article: Trip Generation Prediction Based on the Convolutional Neural Network-Multidimensional Long-Short Term Memory Neural Network Model at Grid Cell Scale, in the Journal: (JOURNAL)
• what: In this Article, the focus is put on these two directions of development, and a high-precision trip generation prediction method for grid cells smaller than traffic analysis zone (TAZ) or plot are proposed. The main contributions of this paper are as follows: Subdivision is carried out on the spatial . . .
  

   

  

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