Inputs include:

• Snowfall accumulation
• Wind exposure at ridge level
• Visibility at altitude
• Temperature volatility
• Snow drift behaviour
• Environmental signals are captured before official disruption is declared.

Each pass is evaluated against predefined exposure limits.

• • Wind tolerance bands
  • Drift escalation triggers
  • Visibility degradation limits
  • Infrastructure sensitivity markers

Threshold breaches do not automatically imply closure.
They indicate operational strain.

Stability is not binary.
Deterioration speed is often more critical than absolute conditions.

AI EVACS measures:

• Rate of change
• Acceleration of instability
• Compression of safe routing windows
• Escalation probability

Trend velocity is the primary instability indicator.

Current conditions are compared with prior closure configurations.

• Similarity detection
• Recurrence modelling
• Structural instability patterns
• False-stability identification

This prevents overreliance on momentary improvement signals.

Official road authority status is integrated into the evaluation.
Legal status confirms accessibility.
Operational modelling evaluates exposure.
The difference defines decision responsibility.