Eastern Massachusetts

Transformer model predicts traffic assignment equilibrium, outperforming traditional methods

Researchers have developed a novel data-driven approach for the traffic assignment problem, utilizing a Transformer-based deep neural network to predict equilibrium path flows. This method significantly reduces computat…