Automated Delay detection using voice processing
Description
AI-based voice recognition of Air Traffic Control (ATC) and pilot communications associated with a flight is required for enhanced and accurate delay reporting and attribution. Many delay events, such as vectoring, are not currently reported/detected/acc
Detailed example
The output of the AI system is data that captures a delay and the associated cause. This will be combined with other data sources to provide a more accurate representation of a flight.
AI / analytics pattern
Classical/Predictive Machine Learning: Models trained on data to make predictions or classifications based on identified patterns or relationships.
Automation level / stage
a) Pre-deployment – The use case is in a development or acquisition status.
Controls / human review
ATO: Yes; PIA: No
Data needed
The AI-based voice recognition process is trained using audio recording of ATC to pilot communications.