AI RESEARCH
Hierarchical Flow Decomposition for Turning Movement Prediction at Signalized Intersections
arXiv CS.LG
•
ArXi:2604.09336v1 Announce Type: new Accurate prediction of intersection turning movements is essential for adaptive signal control but remains difficult due to the high volatility of directional flows. This study proposes HFD-TM (Hierarchical Flow-Decomposition for Turning Movement Prediction), a hierarchical deep learning framework that predicts turning movements by first forecasting corridor through-movements and then expanding these predictions to individual turning streams.