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Als Partner der SBB für ein besseres Auslastungsmanagement realisiert Zühlke dies durch Machine Learning. ","\u003Cp>Die SBB wollen ihren Reisenden aufzeigen, in welchen Zügen es in welchem Zugabteil freie Plätze gibt. Als Partner der SBB für ein besseres Auslastungsmanagement realisiert Zühlke dies durch Machine Learning.\u003C\u002Fp>\n",{"__typename":258,"id":270,"ctaLink":218,"pgSharedText":271,"pgSharedTitle":274,"pgSharedCtaLink":218},"770",{"value":272,"processed":273,"format":263},"\u003Cp>Aufgrund der wachsenden Bevölkerung und der erhöhten Mobilität stehen die Schweizerischen Bundesbahnen (SBB) vor einem Auslastungsproblem. Sie wollen die Nutzung der vorhandenen Infrastruktur optimieren. Bisher stand den Reisenden eine Belegungsprognose pro Klasse zur Verfügung. Die SBB wollen diese Prognose auf die einzelnen Wagen herunterbrechen. So sind freie Plätze schneller auffindbar und die Reisenden werden besser auf alle Wagen verteilt. 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