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1. CG_SF64 CG_SF64 Public

   This code uses computational graph and neural network to solve the five-layer traffic demand estimation in Sioux Falls network. It also includes comparison of models and 10 cross-validations.

   Python 1

2. CG-based-Choice-Models CG-based-Choice-Models Public

   Forked from Taehooie/CGChoiceModel

   Multinomial Logit

   Python

3. BTrip-NN BTrip-NN Public

   This study focuses on the task of individual basic trip chain prediction and proposes a neural network framework (BTrip-NN: Basic Trip Neural Network) that integrates multi-modal graph learning and…

   Python