An artificial neural network based method to uncover the value-of-travel-time distribution

HIGHLIGHTS

• who: Sander van Cranenburgh from the Transport and Logistics Group, Delft University of Technology, Delft, The Netherlands have published the Article: An artificial neural network based method to uncover the value-of-travel-time distribution, in the Journal: (JOURNAL)
• what: This study proposes a novel Artificial Neural Network (ANN) based method to derive the Value-of-Travel-Time (VTT) distribution. The main reason is that while the travellers' choices are observable, their actual trade-offs across alternatives are not-which hampers estimation of the VTT using RP data. Specifically, the authors develop a novel pattern_recognition . . .
  

   

  

  If you want to have access to all the content you need to log in!

  Thanks :)

  Username or E-mail:

  If you don't have an account, you can create one here.