arXiv AI August 25, 2026 By Koyena Chowdhury, Paramita Koley, Abhijnan Chakraborty, Saptarshi Ghosh

RSTGCN: Railway-centric Spatio-Temporal Graph Convolutional Network for Train Delay Prediction

The paper introduces RSTGCN, a Railway-centric Spatio-Temporal Graph Convolutional Network that predicts average arrival delays for all incoming trains at a specific station during a given time period. It incorporates train frequency-aware spatial attention and other architectural innovations to improve predictive accuracy. Experiments on a newly released dataset covering 4,735 Indian Railway stations show RSTGCN outperforms state‑of‑the‑art baselines by 18% in MAE, 14% in MAPE, and 1–8% in RMSE.

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