Visible raw source text
Users should be able to compare any summary or map cue with the original wording.
Visual NOTAM context
Graphical NOTAMs for training awareness
Graphical NOTAM concepts help people understand where a surface restriction sits on an airport map. TaxiwayClosed AI uses that idea for training, not operations.
Training and awareness only. Not official and not valid for flight planning, dispatch, taxi, navigation, or flight operations.
Why visual context helps
NOTAM-style text can be dense, abbreviated, and easy to detach from the physical airport layout. A graphical training view can help users understand where a referenced runway, taxiway, apron, or movement area may sit on the airport surface.
Graphical review is helpful only when the limitation is clear: visualization is not the same as official completeness, certification, or operational approval.
What a good graphical NOTAM training view should include
Map context
Surface geometry should make it easier to locate runways, taxiways, aprons, and airport boundaries.
Time context
Dates, times, schedules, and freshness should be shown when available.
Limitation language
The page and app must keep official-source verification front and center.
TaxiwayClosed positioning
TaxiwayClosed AI is a training-only airport surface NOTAM awareness app. It should be used to learn and review, not to replace official briefing workflows or approved operational tools.
Related pages
AI NOTAM parser for training awarenessHow TaxiwayClosed AI uses AI-assisted NOTAM-style summaries, confidence, and mapped status for training awareness, with clear limitations.Airport surface NOTAM app for training awarenessA training-only airport surface NOTAM app for reviewing taxiway, runway, apron, and movement-area closure context with a visual map.Data sources and limitationsTaxiwayClosed AI data-source, map, AI, confidence, freshness, and safety limitations for airport surface NOTAM-style training awareness.