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Bing Wu

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Open access Jul 2026

Short-Term Metro Passenger OD Demand Forecasting Based on Low-Rank Tensor Network Extended Kalman Filter

A Tensor Network Extended Kalman Filter (TNEKF) framework for short-term metro OD demand forecasting that consistently outperforms ARIMA, conventional EKF, and several state-of-the-art spatiotemporal prediction models in terms of MAE, RMSE, and MAPE.

Aijing Su, Bing Wu, Xiaoxing Fang · 0 citations
#graph neural networks Sep 2026

ST-KFNet-Based Framework for Online Metro Passenger OD Demand Forecasting under Uncertainty

A novel spatiotemporal Kalman filter network (ST-KFNet) framework for metro demand forecasting by integrating an autoregressive integrated moving average module, a Kalman filter (KF) module, and a convolutional neural network (CNN)-based variational autoencoder (VAE) module is proposed.

Ajing Su, Bing Wu, Xiaoxing Fang · 0 citations