OMB Individually Reported
Predictive Analytics Using Autonomous Track Geometry Measurement System (ATGMS) Data
Low riskExact public inventory row
Description
Description: Leveraging large volumes of these recursive track geometry measurements to develop and implement automated machine-learning-based processes for analyzing, predicting, and reporting track locations of concern, including those with significant
Detailed example
Inspection report that includes the trending of track geometry measures and time to failure (i.e., maintenance and safety limits).
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: N/A; PIA: No