Underground Transport Observability
Make underground transport AI explainable. Every pod navigation decision, every ventilation action, every emergency response—observable, queryable, and auditable.
"Why did the pod stop in the tunnel?"
Finally, an answer that takes seconds instead of hours.
Live Tunnel System Status
Watch real-time events streaming from the underground transport network with structured EventIDs
Transport Loop System
Convention Center • Resort District • DowntownQuery Any Event Instantly
Structured EventIDs make system-wide incident investigation possible
🛑 Pod Stoppage Investigation
Reconstruct every decision during an unplanned stop
WHERE event_id LIKE 'vehicle.pod.%'
AND pod_id = 'POD-2803'
AND timestamp BETWEEN
'2026-01-30T14:00:00Z' AND
'2026-01-30T14:05:00Z'
ORDER BY timestamp;
🌬️ Ventilation Analysis
Track all environmental control decisions
air_quality_ppm, fan_speed
FROM events
WHERE event_id LIKE
'tunnel.ventilation.%'
AND date = '2026-01-30';
🚨 Emergency Response Audit
Review all emergency system activations
response_time_ms, outcome
FROM events
WHERE event_id LIKE
'tunnel.emergency.%'
AND severity = 'CRITICAL';
📊 Throughput Analysis
Measure passenger flow and system efficiency
COUNT(*) as boardings,
AVG(wait_time_sec) as avg_wait
FROM events
WHERE event_id =
'vehicle.pod.passenger_loaded:1'
GROUP BY station_id;
Incident Investigation: Before vs. After
How structured observability transforms tunnel incident analysis
Without Event Model
Incident Reported
Pod stopped in tunnel, passengers waiting
Log Collection
Gather data from vehicle, tunnel, control systems
Manual Correlation
Engineers piece together timeline from disparate logs
Root Cause Analysis
Why did the pod stop? Sensor? Software? Obstruction?
Report Generation
Compile findings for DOT / NTSB if required
With Event Model
Incident → Query
Immediate structured query on pod events
Auto-Timeline
Complete sequence reconstructed automatically
AI Analysis
Pattern match against historical incidents
Root Cause Found
Sensor false positive from tunnel lighting change
Auto-Report
Compliance report generated with full audit trail
Why Underground Transport Observability Matters
Structured events enable capabilities impossible with traditional logging
Passenger Safety Audit
Every stop, every emergency response, every evacuation decision—traceable and explainable.
Fleet-Wide Patterns
Identify systemic issues across all pods and tunnels. Detect anomalies before they cascade.
Regulatory Compliance
Automated reporting for DOT, NTSB, and state transportation authority requirements.
Real-Time Anomaly Detection
ML models trained on structured events identify deviations across the network instantly.
Environmental Monitoring
Track air quality, temperature, and ventilation across all tunnel sections continuously.
Passenger Flow Optimization
Understand boarding patterns, wait times, and capacity utilization across all stations.
DOT, NTSB, and State Requirements
Underground passenger transport systems require comprehensive safety documentation. Event Model provides the structured audit trail needed for DOT compliance, NTSB incident investigation, and state-level transportation authority requirements. Every pod movement, every safety system activation—documented and queryable.
Ready to Make Your Transport System Observable?
Whether you're managing a single tunnel or a city-wide network, Event Model scales with your infrastructure. Start with structured telemetry today.