Energy-Efficient Driving Strategies with Reinforcement Learning for the Deutsche Bahn


Sunday, November 17, 2024


On demand


Train drivers have different driving styles which require different amount of energy. These different styles are difficult to analyze to define an energy-efficient driving strategy. We present a reinforcement learning approach that learns to drive long-distance trains more energy-efficient while maintaining punctuality and safety. The method was used by DB Fernverkehr on a test-drive and showed an unexpected driving strategy that was very energy-efficient and material friendly.

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