Here you can watch, in real time, what the ÖffiGo prediction system is doing right now: it observes public transport across all of Austria, compares every position against the schedule, and learns from it to spot delays earlier than the official displays. Collecting since 2 July 2026, around the clock.
Each dot is a vehicle whose position we measured in the last few minutes — from a Vienna bus to a cable car in Tyrol. Coloured where our GPS measurement is already confident about the delay.
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The live vehicle mix and how confident the model is in its prediction right now.
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High confidence = a clean GPS trace on a known route. Low = we're tracking, but we say so honestly.
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Left: all vehicles now, classified by our own measurement. Right: how punctuality develops over the day — you can spot the rush hours immediately.
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The most interesting cases of the last few minutes: trips where our independent GPS measurement says something different from the official display. These are exactly the moments the model learns from.
No big discrepancies right now — that's a measurement result too.
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We measure ourselves — daily and in public: how far our independent GPS measurement deviates from the official display, where both exist. Small number = the measurement is solid. No sugar-coating.
Still collecting daily data…
Still collecting daily data…
Congestion on the road = delay for bus & tram. The model is learning this correlation right now — here's the jam factor over the last 12 hours.
Realtime straight from the Wiener Linien station monitors.
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Measurements per hour, last 48 h. The longer this runs, the smarter the predictions.
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Updated: – · refreshes every 30 s
Our own measurements in the Austrian transit network, aggregated — no personal data. Subway realtime: data source City of Vienna (Wiener Linien), CC BY 4.0. Road traffic: HERE. This page is a workshop look into ÖffiGo — the app that honestly tells you what's live. System status: oeffigo.app/status. Traffic: HERE · Weather: GeoSphere Austria · Subway: City of Vienna/Wiener Linien (CC BY 4.0).