ALEXANDRIA, Va., July 30 -- United States Patent no. 12,373,769, issued on July 29, was assigned to Telegraph System Inc. (Chicago).
"Machine learning-based prediction of equipment arrival times in a railroad network" was invented by Thomas Boeck (Los Angeles), Lucas Scavone (Austin, Texas), Amaro Luna (Berkeley, Calif.) and Harris Ligon (Chicago).
According to the abstract* released by the U.S. Patent & Trademark Office: "Systems and methods for predicting an estimated time of arrival for an equipment at a destination location are disclosed. The method includes inputting to a trained machine learning model a starting location, the destination location and at least one event data, generated in response to an event during a trip of the equ...