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1. A Generative Adversarial Network Based Learning Approach to the Autonomous Decision Making of High-Speed Trains.

2. Distributed Model Predictive Control Strategy for Constrained High-Speed Virtually Coupled Train Set.

3. Bio-Inspired Speed Curve Optimization and Sliding Mode Tracking Control for Subway Trains.

4. Short-Term Traffic Prediction Based on DeepCluster in Large-Scale Road Networks.

5. Using Reinforcement Learning to Minimize the Probability of Delay Occurrence in Transportation.