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LTV-CTDNet: Compositional Turning Decomposition for Short-Term Turning-Movement Forecasting
Short-term turning-movement forecasts can support signal control and corridor operations, but unconstrained neural networks may produce physically impossible negative counts or outputs that are not explicitly tied to an approach-demand total. This study introduces the Linear Temporal-Variable Compos
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