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Yun-Feng Peng

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Conference Aug 2026

Deep learning models for urban rail transit traffic flow prediction

For the short-term passenger flow prediction task of urban rail transit, a deep learning model integrating temporal network, graph convolution, and attention mechanism is proposed that demonstrates higher accuracy and more stable generalization ability in the short-term passenger flow prediction task.

Yun-Feng Peng · International Conference on... · 0 citations