Network Uptime
99.3%
+3.2 pts vs baseline
Assets at Risk (30d)
23
6 critical · 17 degrading
Projected Crash Risk
−28%
with dynamic speed
Field-Service Cost
−35%
fewer reactive truck-rolls
Asset Health by Type
Predicted Traffic vs Capacity (24h)
Top Failure Predictions open Asset Health →
Live Speed Advisory open Dynamic Speed →
Network Uptime (target)
99.3%
from 96.1%
Assets at Risk (30d)
23
6 critical · of 64 monitored
Mean-Time-To-Repair
7h
from 26h · pre-staged spares
Chronic-Fault Junctions
4
flagged for re-engineering
Root-Cause Mix
Fleet Failure-Risk Trend (next 8 weeks, with vs without FluxAI)
Asset Register - predicted failures & root cause
All
ANPR
Radar
VMS
Controller
Power
Only at-risk
| Asset · Location | Health | Predicted Failure | Status |
|---|
Select an asset to see its health trend, root-cause analysis & recommended action.
Live Corridor - recommended speed per VMS gantry
Predicted Traffic vs Recommended Speed (24h)
Vehicle Mix 18:00
Which assets will fail in the next 30 days?
What speed should we set in the ghats at 6pm in rain?
Which junctions have chronic network issues?
Show repeat speed violators this month
When do multi-axle vehicles peak?
POC assistant - answers are grounded in this demo's simulated dataset. The pilot wires the same assistant to your live NMS/ATMS feeds.