Traffic request generation through a variational auto encoder approach

HIGHLIGHTS

• who: Stefano Chiesa and Sergio Taraglio from the (UNIVERSITY) have published the paper: Traffic Request Generation through a Variational Auto Encoder Approach, in the Journal: Computers 2022, 11, 71. of /2022/
• what: In the approach , the used stop trajectories are a more compact data representation, which consent the use of a simpler VAE architecture based on dense neural_networks.
• how: In the third section variational autoencoders are concisely presented the employed dataset is described with some associated statistical analyses and the tuning of some of the model parameters used during training is shown. In . . .
  

   

  

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