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DoluMu — hourly crowd forecasts and live transit info for Istanbul (metro, Marmaray, Metrobüs, buses)
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DoluMu - Istanbul Public Transit Crowding Prediction Platform ML-powered crowd and occupancy predictions for all Istanbul public transport. Check before you ride. 🌐 Available in Turkish and English | Türkçe ve İngilizce dillerinde kullanılabilir DoluMu is a multilingual, web-based ML prediction tool that helps you avoid peak hours and plan more comfortable journeys on Istanbul's public transportation network covering Metro, Bus, Metrobus, and rail lines.Read the full README ↗
ML-powered crowd and occupancy predictions for all Istanbul public transport. Check before you ride.
🌐 Available in Turkish and English | Türkçe ve İngilizce dillerinde kullanılabilir
DoluMu is a multilingual, web-based ML prediction tool that helps you avoid peak hours and plan more comfortable journeys on Istanbul's public transportation network covering Metro, Bus, Metrobus, and rail lines.
Important: This platform uses ML models trained on historical passenger data and weather forecasts to predict crowding levels. It does not rely on real-time sensors or live passenger counting. All information shown represents forecasted predictions based on patterns learned from past data, weather conditions, and calendar factors.
M1 is searchable as its M1A / M1B branches; both share the same forecast/tr/line/500T?dir=D&day=tomorrow)Levels are relative to each line's own busiest hour of that day, like "Popular times" on Google Maps:
| Level | Share of the day's busiest hour | Meaning |
|---|---|---|
| 🟢 Quiet | < 40% | One of the quietest times of the day |
| 🟡 Normal | 40–65% | Typical for this line |
| 🟠 Busy | 65–85% | Crowded, seats may be hard to find |
| 🔴 Very busy | ≥ 85% | Among the busiest hours of the day |
The "Right now" card also suggests a noticeably quieter hour within the next three hours when there is one.
Capacity-based occupancy (occupancy_pct) is still shown under "How is this forecast made?", together with a note on how reliable the capacity estimate is. It is not used for the colours because the capacity estimates are coarse and saturate at 100% on many lines.
G vs D) is paused, keeping the forecast, status banner, and schedule widget perfectly aligned.first_time/last_time) so 24h charts remain visible while inactive hours render as gaps."I work in Levent and live in Kadıköy. Should I leave at 17:30 or wait until 18:30?"
"Planning to visit Taksim on Saturday afternoon - when will the metro be less crowded?"
"I have a doctor's appointment in Bakırköy at 14:00 - when should I leave Beylikdüzü?"
"There's a match at Vodafone Park tonight - how crowded will the metro be?"
Our ML models achieve good accuracy for typical conditions, but predictions are estimates, not guarantees. Accuracy is highest for:
Predictions may be less accurate during:
This is the beginning of the README. Read the rest at the original. Read the full README ↗