AI Use Case LibraryDoD FM · Federal · Audit · Finance · OMB 2025
Home/Browse catalog/OMB Individually Reported/OMB-IND-DOT-1000040
OMB Individually Reported

Exploratory Advanced Research group of projects

Low riskExact public inventory row

Description

Description: The Exploratory Advanced Research (EAR) Program addresses the need for longer term, higher risk research with the potential for transformative improvements to transportation systems. The EAR Program currently funds several projects that focus

Detailed example

Inputs and outputs vary across the projects.

AI / analytics pattern

Other

Automation level / stage

a) Pre-deployment – The use case is in a development or acquisition status.

Controls / human review

ATO: N/A; PIA: No

Source

OMB 2025 Federal Agency AI Use Case Inventory

Related

More from Transportation

OMB-IND-NASA-5OMB Individually Reported

Autoresolver/Tailored Arrival Manager

The Autoresolver system is a tool for autonomous air traffic management. It is designed to perform many of the tasks that air-traffic controllers have historically performed inclu…

OMB Individually ReportedTransportationLow risk
OMB-IND-NASA-11OMB Individually Reported

Explainable and robust deep semi-supervised model for multi-class anomaly detection in flight data

This model is a semi-supervised deep learning based anomaly detection for aircraft flight data. It is designed to work when a small subset of data is reviewed and labeled by exper…

OMB Individually ReportedTransportationLow risk
OMB-IND-NASA-18OMB Individually Reported

Machine Learning Airport Surface Model: Airport Configuration Prediction

The ML-airport-configuration software is developed to provide a reference implementation to serve as a research example how to train and register Machine Learning (ML) models inte…

OMB Individually ReportedTransportationLow risk
OMB-IND-NASA-19OMB Individually Reported

Machine Learning Airport Surface Model: Arrival Runway Prediction

The ML-airport-arrival-runway software is developed to provide a reference implementation to serve as a research example how to train and register Machine Learning (ML) models int…

OMB Individually ReportedTransportationLow risk
OMB-IND-NASA-20OMB Individually Reported

Machine Learning Airport Surface Model: Departure Runway Prediction

The ML-airport-departure-runway software is developed to provide a reference implementation to serve as a research example how to train and register Machine Learning (ML) models i…

OMB Individually ReportedTransportationLow risk
OMB-IND-NASA-23OMB Individually Reported

Machine Learning Airport Surface Model: Taxi-out Prediction

The ML-airport-taxi-out software is developed to provide a reference implementation to serve as a research example how to train and register Machine Learning (ML) models intended…

OMB Individually ReportedTransportationLow risk