Luo-Kun Yu

Short-Term Railway Passenger Flow Prediction Using Deep Learning: Model Construction and Empirical Study

A Transformer-GRU hybrid model fused with multi-source features is constructed, and data anomaly processing module is designed to optimize data quality, which can meet the real-time and accurate requirements of railway operation and provide technical support for railway intelligent dispatching.