RIDE: An Open Dataset and Benchmark for Train Delay Prediction
Researchers have introduced RIDE, a new open dataset and benchmark designed to standardize train delay prediction. This nationwide dataset, covering the Belgian railway network from 2023 to 2025, includes 94.5 million train events and 35.7 million weather records. The RIDE framework provides a unified evaluation protocol to compare various predictive models, revealing that graph neural networks achieved the best performance among learning-based methods. AI
IMPACT Standardizes evaluation for train delay prediction models, enabling better comparison and development of AI solutions.