SmartDTCAI-Powered Transit - For Delhi People
Transforming Delhi Transport Corporation with LSTM demand forecasting, XGBoost delay prediction, and Genetic Algorithm scheduling — delivering smarter, faster, more reliable bus services for 3.5 million daily passengers.
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Active Routes
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Live Buses
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Drivers On-Duty
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Daily Passengers
Proven System Outcomes
Compared against traditional static scheduling baseline
78%
OTP Improvement
vs 62% baseline
47%
Wait Reduction
average savings
+18%
Fleet Utilisation
vs static plan
8.3%
Demand MAPE
LSTM accuracy
Core AI Components
Four machine learning models working together in a unified microservice architecture
LSTM Demand Forecasting
Deep learning predicts passenger demand 24 hours ahead with 91.7% accuracy across all 569 DTC routes.
XGBoost Delay Prediction
Machine learning forecasts bus delays with 4.2 min RMSE using weather, traffic and historical patterns.
Genetic Algorithm Scheduling
Evolutionary algorithm optimises headways and fleet allocation, reducing passenger wait times by 47%.
Real-Time GPS Tracking
Live bus positions streamed via Socket.io every 10 seconds, with automatic alert generation for delays.
Anomaly Detection
Isolation Forest model detects route anomalies and overcrowding, triggering instant fleet adjustments.
Arrival ETA Predictions
Gradient Boosting model predicts stop-level ETAs with 2.8 min MAE for the passenger mobile app.
Explore SmartDTC
Track buses live, plan your journey, or dive into the admin analytics dashboard.