knowledge transfer

Chaos-Informed Wave Interference Model Boosts Cross-City Traffic Forecasting with Less Data

A research paper introduces CIWI-CKT, a chaos-informed wave interference feature fusion framework with cross-city knowledge transfer for traffic flow forecasting. The model addresses data scarcity and chaotic traffic dynamics, significantly outperforming existing methods on four real-world datasets while requiring less training data.