Gati Drishti

Railway arrival forecasts that update as the train moves.

Live demo (opens in a new tab)Source on GitHub (opens in a new tab)
Gati Drishti dashboard: “Dynamic Railway ETA Intelligence” with a train search, live counters for active trains, prediction updates and network alerts, and a sidebar for the control room, network intelligence and developer APIs.

The problem

A timetable says when a train should arrive, not when it will. Delays ripple through a busy corridor through congestion, overtaking and crossings, and passengers are left refreshing status pages.

How it works

Gati Drishti combines a train's position with historical running data and network conditions to keep re-forecasting its arrival. A network view simulates the Mumbai–Delhi Western Railway corridor, showing node congestion and predicting where trains will overtake or cross.

Historical runs are analysed for bottlenecks and station performance, and a developer portal exposes mock APIs for ETAs, history and infrastructure alerts. The interface switches between English, Hindi, Marathi and Gujarati.

Highlights

  • Dynamic ETA that adjusts to delays and congestion
  • Corridor simulation with overtaking and crossing predictions
  • API sandbox for integrators
  • English, Hindi, Marathi and Gujarati