From real-time monitoring to advanced AI optimization, RailTrack AI covers every aspect of railway traffic management.
AI monitors every train movement and predicts crossing conflicts seconds before they occur, giving controllers actionable time to act.
Simulate disruptions before they happen. Run scenarios with delays, breakdowns, or weather events and compare optimized outcomes side-by-side.
XGBoost + LSTM models trained on historical patterns forecast delays up to 2 hours ahead with station-level granularity.
Purpose-built dashboards for Section Controllers, Traffic Supervisors, Logistics Operators, and Admins with role-scoped data.
Every AI recommendation, override, and manual decision is logged with operator ID, timestamp, and outcome — full regulatory compliance.
Kafka-powered event stream ingests signalling, rolling stock telemetry, and weather APIs in real-time with sub-second latency.