The work applies graph neural networks and hybrid ML techniques to approximate solutions to the traffic assignment problem in well-known congested networks by learning from user behavior data.
K., End-to-End Learning of User Equilibrium with Implicit Neural Networks, Transportation Research Part C: Emerging Technologies, 150
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Learning from user's behaviour of some well-known congested traffic networks
The work applies graph neural networks and hybrid ML techniques to approximate solutions to the traffic assignment problem in well-known congested networks by learning from user behavior data.