Railways · Omsk
Omsk researchers combine physics and machine learning in a train model
The model uses records from real freight journeys.
russia.direct editorial team
RSF report — 13 October 2026 · 1 min read
Published 14 October 2026 · Source dated 13 October 2026
RSF report — 13 October 2026 · 1 min read
Published 14 October 2026 · Source dated 13 October 2026
The Russian Science Foundation reports that Omsk State Transport University researchers combined train-motion physics with machine learning. Training data came from more than 1,500 freight journeys on the West Siberian Railway.
The model is intended to identify less energy-intensive driving strategies. Trials in railway operations are still planned: the reported results do not establish electricity savings already achieved on the network.
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A russia.direct editorial selection based on open sources. Checked 14 October 2026. Practical suggestions are a decision guide, not a promise of outcomes.
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