Prototype Notice: This is a prototype system and may produce inaccuracies; timestamps and suggestions can sometimes be wrong as it relies on free API services from RailRadar, where responses may be slow, outdated, incomplete, or occasionally corrupted, so the data should be used only for reference and not for official decision-making.

The Future of Rail Operations is Here

RailPulse combines nationwide live train tracking with a powerful AI-driven Decision Support System (DSS) to create the most advanced rail management platform in India.

Trains Between Stations

Find all available trains between two stations.

Enter station name or code (e.g., NDLS or New Delhi).

Where is My Train?

Get the live status of any train.

Select the date the train started its journey.

Powered by an AI Decision Support System

Our DSS is the brain behind RailPulse, analyzing vast amounts of data to provide actionable intelligence for traffic controllers, ensuring a safer and more efficient railway network.

AI Decision Feed Showcase

A glimpse into the real-time operational recommendations generated by our DSS.

Conflict: Mumbai Rajdhani vs NDLS-AGC Freight
Action: Hold

Location: NDLS - Platform 3

Reason: Mumbai Rajdhani has higher priority (Rajdhani) and greater passenger count (1200). Holding the freight train minimizes passenger delay.

Impact: Save ~12 min total delay

Confidence:
98%

Conflict: Howrah Rajdhani vs Agra Express
Action: Proceed

Location: AGC - Platform 1

Reason: Howrah Rajdhani is a high-priority train. Allowing it to proceed maintains its schedule and avoids cascading delays on the main line.

Impact: Save ~8 min total delay

Confidence:
95%

Conflict: Jaipur SF vs Firozpur Janata
Action: Reroute

Location: MTJ - Platform 2

Reason: Minor platform conflict. Rerouting Jaipur SF to Platform 4 avoids a 15-minute halt for both trains, saving significant time.

Impact: Save ~25 min total delay

Confidence:
92%

Conflict: Delhi-Agra Local vs Agra Express
Action: Hold

Location: AGC - Platform 5

Reason: Agra Express has a higher passenger load and is already running slightly behind schedule. Prioritizing it prevents further delay accumulation.

Impact: Save ~5 min total delay

Confidence:
88%

Proactive Conflict Detection

Our AI identifies potential scheduling conflicts for platforms, tracks, and yards minutes before they cause delays.

Intelligent Routing

Generates optimal routing and holding recommendations to minimize passenger impact and maintain network schedules.

Live KPI Monitoring

Tracks key performance indicators like on-time percentage, average delay, and corridor throughput in real-time.

Enhanced Efficiency

Improves overall network fluidity, reduces operational costs, and enhances safety across the entire rail corridor.

Frequently Asked Questions