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.

• See predicted crowding levels for any metro line or bus route up to 24 hours ahead
• Plan your commute by checking the best departure times before you leave

• Our model considers weather conditions (rain, temperature, wind) that affect ridership patterns
• Get more accurate predictions during adverse weather conditions when people change their travel habits
• Real-time weather badge showing Istanbul temperature with expandable 6-hour forecast

• Istanbul-wide traffic congestion index displayed in real-time (sourced from İBB Traffic Management Center)
• Visual percentage indicator (0% = empty roads, 100% = fully congested)
• Click badge for detailed explanation of traffic data source and interpretation
• Auto-updates every 5 minutes to reflect current traffic conditions

• View complete bus line routes on an interactive map with all stops
• See dynamic direction labels showing destination stops (e.g., "KADIKÖY Yönü")
• Interactive stop markers with names and locations
• Distinctive start (green) and end (red) stop indicators
• Smooth, professional route rendering with rounded polylines

• Metro lines render with official colors, accessibility badges, and accurate station geometry sourced from Metro Istanbul APIs.
• Station selectors automatically pull valid directions (e.g., Yenikapı → Havalimanı) and keep the forecast/time slider in sync with the chosen branch.
• Dedicated MetroLayer overlays stops on the map alongside bus/metro data so you can mix and match trips visually.
• M1 is exposed as separate M1A and M1B branches in search and selection so station lists and timetables remain consistent per branch.

• A compact widget shows the next departures plus first/last trips; tapping it opens a full-day MetroScheduleModal with every train for the selected station/direction.
• A built-in stale-while-revalidate cache keeps timetables available even if the upstream Metro API stalls, refreshing quietly whenever the network is reachable.

• Occupancy predictions are backed by per-line capacity metadata (max_capacity, and when available: vehicle_capacity and trips_per_hour) so crowd levels are easier to interpret.
• A dedicated Capacity modal explains the assumptions behind capacity for buses (vehicle mix) and rail (static capacity tables).

• Marmaray uses a static schedule integration to avoid missing-schedule gaps, keeping service-hour and capacity logic consistent.
• Metro/rail capacities can be overridden via a static rail capacity table used by the backend.

• Access the platform on any device - mobile, tablet, or desktop
• Add to your phone's home screen for quick access
• Works offline for basic functionality
• Advanced mobile gestures: drag-to-minimize panels, haptic feedback
• Responsive design with desktop sidebar and mobile drawer layouts

• Full interface available in Turkish (Türkçe) and English
• Easy language switching from Settings page
• All forecasts, labels, and notifications localized
• Automatic language detection based on browser preferences

The platform shows crowding levels using a color-coded system and crowd scores:

• 🟢 Green (Very Low/Low): Comfortable travel with plenty of space
• 🟡 Yellow (Medium): Moderate crowding, seats may be limited
• 🟠 Orange (High): Crowded conditions, standing room available
• 🔴 Red (Very High): Very crowded, limited standing space

The crowd score is contextual and relative to each transport line's typical patterns:

• Percentile Ranking: How this hour compares to historical data for the same line and time
• Peak Comparison: How crowded this is relative to the line's busiest periods

Example: "M2 Metro - Şişli → Hacıosman: High (🟠)"

• Historical Context: 78% more crowded than typical for this time
• Peak Reference: 63% of this line's maximum capacity
• Recommendation: Consider traveling at 21:00 instead (Medium crowding)

• Hours that fall outside the published schedule are clearly marked Out of Service, so you instantly know when a line is offline instead of staring at an empty chart.
• Direction-aware status checks mean the app can tell you if only one side of a route (e.g., G vs D) is paused, keeping the forecast, status banner, and schedule widget perfectly aligned.
• Metro/rail out-of-service hours are derived from Metro topology service windows (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?"

• Check M2 Metro predictions for both time slots
• Compare crowd levels and choose the more comfortable option

"Planning to visit Taksim on Saturday afternoon - when will the metro be less crowded?"

• View weekend patterns for M2 Vezneciler → Taksim
• Get suggestions for off-peak shopping hours

"I have a doctor's appointment in Bakırköy at 14:00 - when should I leave Beylikdüzü?"

• Check Metrobüs predictions 2-3 hours before departure
• Plan buffer time based on predicted crowding levels

"There's a match at Vodafone Park tonight - how crowded will the metro be?"

• Check predictions for lines serving Beşiktaş
• Plan alternative routes if main lines show high crowding

Our ML models achieve good accuracy for typical conditions, but predictions are estimates, not guarantees. Accuracy is highest for:

• Regular weekday patterns
• Well-established metro and metrobüs lines
• Normal weather conditions

Predictions may be less accurate during:

• Unusual events (strikes, major celebrations, emergencies)
• Extreme weather conditions not seen in historical data
• New transportation routes with limited historical data

• Passenger Data: Istanbul Metropolitan Municipality (IBB) open data on hourly ridership
• Weather Data: Open-Meteo weather forecasts and historical weather patterns
• Calendar Data: Turkish holidays, school terms, and seasonal patterns
• Transit Topology & Timetables: Metro Istanbul API (stations, directions, daily timetables) and IETT planned schedules (bus service windows, trips-per-hour)
• Traffic Index: İBB Traffic Management Center (IMM/UYM) congestion feed (Istanbul-wide % index)
• Route Geometry (Map): IETT stop coordinates and route geometries (processed into static JSON assets for the PWA and optional backend route endpoints)

This platform focuses on prediction and planning rather than real-time monitoring. Our goal is to help you plan ahead and avoid crowded conditions before you start your journey.

The platform covers major Istanbul public transportation including:

• Metro & rail lines (topology/schedule-aware; M1 is exposed as M1A/M1B in the UI)
• Marmaray (static schedule integration for consistent service-hour logic)
• Metrobüs (BRT) routes
• Major bus lines with sufficient historical data (with capacity + trips-per-hour support when available)

The platform can use your location (if you permit it) only to show nearby transport options and provide relevant recommendations. Location data is not stored or tracked for advertising purposes.

You can bookmark frequently used transport lines by clicking the star icon (⭐) when viewing a line's details. Your favorites are stored locally on your device and displayed on the Forecast page for quick access to real-time crowd predictions.

Notification features are planned for future releases to alert you about:

• Unusually high crowding on your saved favorite lines
• Weather-related changes affecting your regular routes
• Recommended departure times for your planned trips

1. Visit the Platform: Access through your web browser on any device
2. Choose Your Language: Select Turkish or English from Settings (⚙️)
3. Explore the Map: Browse Istanbul's transport network and crowding patterns
4. Select Your Line: Click on any metro or bus route
5. Choose Your Time: Use the time slider to see predictions for different hours
6. Save Favorites: Bookmark your regular routes for quick access
7. Plan Ahead: Check predictions before starting your journey

This platform is designed to make Istanbul's public transportation more comfortable and predictable for everyone. While we strive for accuracy, please use these predictions as guidance alongside your own experience and local conditions.