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eess.SY2024★ 1 cited
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…
eess.SY2023★ 7 cited
Generalized adaptive smoothing based neural network architecture for traffic state estimation
Chuhan Yang, Sai Venkata Ramana Ambadipudi, Saif Eddin Jabari
The adaptive smoothing method (ASM) is a standard data-driven technique used in traffic state estimation. The ASM has free parameters which, in practice, are chosen to be some gene…