PPTNet forecasts highway density and speed using FFT-selected periodic patterns, 2D Inception convolutions, and a Transformer decoder, then converts forecasts into congestion probabilities with a Mamdani fuzzy system.
A study of traffic capacity,
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PPTNet: A Hybrid Periodic Pattern-Transformer Architecture for Traffic Flow Prediction and Congestion Identification
PPTNet forecasts highway density and speed using FFT-selected periodic patterns, 2D Inception convolutions, and a Transformer decoder, then converts forecasts into congestion probabilities with a Mamdani fuzzy system.