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Start Time:
10:15 AM
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End Time:
10:45 AM
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Day:
Day 2
Talk:
In this session, the panelists will talk about the real-world applications of data science in airspace operations. AI/ML can improve the ground and airspace operations by enhancing the accuracy of current decision-making tools used by the airlines and the Federal Aviation Administration (FAA) to manage traffic on the ground and in the air. Huge amount of data gets collected during a flight. AI/ML methods can extract information from this data and provide valuable insights to make better operational decisions. NASA is working with FAA and airlines and has successfully demonstrated the benefits of using AI/ML in real world environment by reducing delays and optimizing ground operations at the US airports. In 2022 itself, NASA demonstrated real-world benefits (over 24K lbs. of fuel savings, over 76.6K lbs. CO2 emission savings, and several hours of delay savings) by deploying ML based prediction models to optimize ground operations at Dallas/Fort Worth International and Dallas Love Field Airports in Texas. We will share insights and learnings from this research initiative.
Associated Speakers:
Dr. Swati Saxena
Aerospace Engineer
NASA Ames Research Center

10:15 AM - Day 2
View Presentation: Real World Application of AI/ML for Managing Airspace Operations
Dr. Jeremy Coupe
Aerospace Engineer
NASA Ames Research Center

10:15 AM - Day 2
View Presentation: Real World Application of AI/ML for Managing Airspace Operations
William Chan
Project Manager, Air Traffic Management Exploration (ATM-X)
NASA Ames Research Center

10:15 AM - Day 2
View Presentation: Real World Application of AI/ML for Managing Airspace Operations