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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