Lance Sherry, Associate Professor, Systems Engineering and Operations Research (SEOR), and John Shortle, Chair/Professor, SEOR, received funding for the project: “Artificial Intelligence and Advanced Analytics to Estimate Collision Risk during Departure and Arrival.”
The objective of this research is to estimate collision risk using artificial intelligence and machine learning techniques and other advanced analytics techniques during departure and arrival.
Regarding the importance of this research, Sherry said, “As demand for air transportation system[s] increases and as new aircraft and procedures are introduced into the system, this research helps to ensure that aviation continues to be an extremely safe mode of transportation.”
Sherry and Shortle received $186,375 from the University of Maryland on a Phase 1 subaward from the Federal Aviation Administration for a 5 Phase project. Funding began in Sept. 2022 and will end in late Dec. 2027.
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