High-frequency location updates integrated seamlessly with existing railway GPS networks to provide real-time positioning.

Machine learning models that adapt to current conditions, adjusting predictions based on weather, congestion, and historical performance.

Deep analysis of past train runs to identify bottleneck patterns and systemic delays at specific junctions.

Holistic view of the railway network predicting cascading delays before they affect downstream traffic.