2022
Machine-Learned Prediction Equilibrium for Dynamic Traffic Assignment
AAAI 2022technical
We study a dynamic traffic assignment model, where agents base their instantaneous routing decisions on real-time delay predictions. We formulate a mathematically concise model and derive properties of the predictors that ensure a dynamic prediction equilibrium exists. We demonstrate the versatility…