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.
and Yin, W., Three-Operator Split- ting for Learning to Predict Equilibria in Convex Games, SIAM Journal on Mathematics of Data Science, 6(3)
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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.