Learning from user's behaviour of some well-known congested traffic networks

Isolda Cardoso, Lucas Venturato, Jorgelina Walpen
8/20/2025
math.OCcs.LG

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Abstract

We consider the problem of predicting users' behavior of a congested traffic network under an equilibrium condition, the traffic assignment problem. We propose a two-stage machine learning approach which couples a neural network with a fixed point algorithm, and we evaluate its performance along several classical congested traffic networks.

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Cite this paper

@article{cardoso2025learning,
  title  = {Learning from user's behaviour of some well-known congested traffic networks},
  author = {Isolda Cardoso and Lucas Venturato and Jorgelina Walpen},
  year   = {2025},
  eprint = {2508.14804},
  archivePrefix = {arXiv},
  url    = {http://arxiv.org/abs/2508.14804v1}
}

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