LTV-CTDNet: Compositional Turning Decomposition for Short-Term Turning-Movement Forecasting

cs.LG

Submitted: 2026-09-27

Updated: 2026-09-27

Comments: Accepted: September 26, 2026, for presentation at the 2027 TRB Annual Meeting, Washington, D.C. (Paper No. TRBAM-27-06161)

License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/

Sources

• Chronos: Learning the Language of Time Series
• Chronos-2: From Univariate to Universal Forecasting
• TSMixer: An All-MLP Architecture for Time Series Forecasting
• A Multi-Graph Convolutional Neural Network Model for Short-Term Prediction of Turning Movements at Signalized Intersections
• Spatio-Temporal Graph Convolutional Networks: A Deep Learning Framework for Traffic Forecasting

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