Customer challenges
1
Testing AI or operational changes in a live metro is disruptive and safety-critical, and peak crowding and rare emergencies are hard to plan for with real data alone.
Customer benefits
De-risked rollout, optimized coverage, congestion and evacuation scenarios tested virtually, and models trained on synthetic edge cases.
Key features
Virtual station & network replica
A virtual replica of the station and the wider network.
Passenger-flow & congestion simulation
Simulates passenger flow and congestion build-up.
Emergency & evacuation scenarios
Simulates emergency and evacuation scenarios.
Camera & AI coverage planning
Plans camera placement and AI coverage before deployment.
Synthetic data generation
Generates synthetic training data from simulated scenes.
Sim-to-Real validation
Validates models in simulation before applying them to live feeds.
Before & after
| Before | After — with Linker AI Nexa |
|---|---|
| Before Trial-and-error placement; plans tested via rare live drills. | After — with Linker AI Nexa Coverage, flow, and emergency scenarios validated in simulation first. |