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Deutsche Bahn Deploys AI to Predict Hamburg S-Bahn Crowding

Passengers see color-coded forecasts powered by machine learning applied to light-barrier data, with more than 90 percent accuracy, ahead of trials in Berlin.

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Eine Auslastungsanzeige an der Hamburger S-Bahn-Station Elbbrücken.
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Overview

  • DB Lightgate combines light-barrier counts with AI to model passenger density in real time
  • System is live at 88% of Hamburg S-Bahn stations with platform screens showing green, yellow or red indicators for space availability
  • The AI-driven forecasts deliver crowding information earlier than conventional methods, aiding passenger decision-making and boarding
  • Trials of the AI module are underway in select Berlin stations, with full deployment pending test results
  • Hamburg’s transport senator Anjes Tjarks hails the initiative as a key step toward digitalizing operations and improving hub management