Certified Professional Controller (CPC) On-Board Success Evaluator
CPC Outlook Generator (COG) is a front end Graphical User Interface built to interact with a data model called CPC Onboarding Success Evaluator (COSE), a machine learning model ca…
Automated Delay detection using voice processing
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. M…
Technical Operations Predictive Maintenance
"Utilize equipment telemetry data, statistical modeling and Machine Learning to predict equipment failures before they occur. This will improve operational efficiency and safety…
Airborne Safety Metric (ASM)
The use of AI modeling can categorize the types of events based on the information provided in the accident and incident report and its result will support the safety metric calcu…
Surface Safety Metric (SSM)
Automated review of accident narratives.
Surface Report Classifiier (SCM/Auto-Class)
To classify surface Mandatory Occurrence Reports (MORs) to reduce the amount of manual event review.
Pilot-Controller Voice to Text Transcription
To transcribe recorded radio communications between pilots and air traffic controllers operating within the national airspace.
Detection of Unmanned Aircraft Systems (UAS) Encounter
Unmanned Aircraft Systems (UAS) are a source of potential safety risk. Manual data exploration by a human is labor and time consuming. Automatic data mining can help to identify…
Human Performance Taxonomy labeling
to label radio communication transcripts according to the HP Taxonomy labeling system.
Regulatory Compliance Mapping Tool
The AVS International office is required to identify means of compliance to ICAO Standards and Recommended Practices (SARPs). Both SARPs and means of compliance evidence are tex…
JASC Code classification in Safety Difficulty Reports (SDR)
AVS identified a need to derive the joint aircraft system codes (JASC) chapter codes from the narrative description within service difficulty reports (SDR), a form of safety event…
Offshore Precipitation Capability (OPC)
The AI/ML tool helps detect and predict where precipitation currently is and where it will be at the future at various altitudes in parts of the NAS that do not have traditional g…
Course Deviation Identification for Multiple Airport Route Separation (MARS)
The Multiple Airport Route Separation (MARS) program is developing a safety case for reduced separation standards between Performance Based Navigation (PBN) routes in terminal air…
Improve and Speed up the Certification Service Oversight Process Using Intelligent Document Review
Before digitization: * The Certification Services Oversight Process (CSOP) is a manually intensive paper process * Requires the public and small businesses to provide input for…
Determining Surface Winds with Machine Learning Software
Successfully demonstrated use of an AI capability to analyze camera images of a wind sock to produce highly accurate surface wind speed and direction information in remote areas t…
Remote Oceanic Meteorological Information Operations (ROMIO)
ROMIO is an operational demonstration to evaluate the feasibility to uplink convective weather information to aircraft operating over the ocean and remote regions. Capability conv…
Head Kinematics Prediction
Description: Utilize deep learning models for predicting head kinematics directly from crash videos. The utilization of deep learning techniques enables the extraction of 3D kinem…
Crash Parameter Prediction
Description: Utilize deep learning for predicting crash parameters, Delta-V (change in velocity) and PDOF (principal direction of force), directly from real-world crash images. De…
Crushed Aggregate Gradation Evaluation System
Description: Deep learning computer vision algorithms aimed at analyzing aggregate particle size grading. Input: Images of ballast cross sections
Automatic Track Change Detection Demonstration and Analysis
Description: DeepCNet-based neural network to identify and classify track-related features (e.g., track components, such as fasteners and ties) for ""change detection"" applicati…
Predictive Analytics Using Autonomous Track Geometry Measurement System (ATGMS) Data
Description: Leveraging large volumes of these recursive track geometry measurements to develop and implement automated machine-learning-based processes for analyzing, predicting,…
Integration of small Unmanned Aircraft System (sUAS) Geospacial Information System (GIS) Technologie
This use case will be used to enable new methods and tools that support the maintenance of life cycle of National Airpsace System (NAS) infrastructure.
Geolocating and Identifying Vehicle Hard Brake, Acceleration and Seat Belt Usage with CV Data
Description: The ongoing work leverages AI/ML in big traffic data analytics to identify roadway geolocations where potential safety issue may exist through the integration of con…
Path to Advanced Novel Data Analytics (PANDA), a data science lab.
Description: A data science lab established at Turner-Fairbank Highway Research Center.