Urban traffic analysis and forecasting through shared Koopman eigenmodes

Chuhan Yang, Fares B. Mehouachi, Monica Menendez +1

Predicting traffic flow in data-scarce cities is challenging due to limited historical data. To address this, we leverage transfer learning by identifying periodic patterns common…