NASA Summer Intern Wins Second Place at AIAA Student Conference
Charles Schultz placed second in the Undergraduate Technical Paper category at the Region III AIAA Student Conference held at the University of Dayton on April 2nd, 2011. Mr. Schultz conducted his research on an adaptive trajectory prediction feedback algorithm for climbing flights while interning with the Aviation Systems Division at NASA Ames Research Center in the summer of 2010. As a proof of concept, he demonstrated how his algorithm could enhance trajectory prediction accuracy by a factor of at least two for a sample of 18 climbing flights. Both the paper and presentation were well received by the judges and other conference participants. After completing his undergraduate degree this month in Aerospace Engineering at the University of Michigan, Mr. Schultz will be returning to NASA Ames for the summer to apply the feedback he received at the student conference to further improve the performance of his adaptive climb algorithm.
Completed planning meeting for ATM Technology Demonstration
On May 3-5, the ADS-B Enabled Green operations using Integrated Scheduling and Spacing (AEGIS) team, together with researchers and project managers from NASA Ames and Langley Research Centers, held a 3-day planning meeting at NASA Langley to finalize the first version of a project plan. AEGIS was selected as the first technology demonstration in a series of ARMD air traffic management (ATM) Technology Demonstration activities. These activities are aimed at accelerating airspace technology transition in general, and adoption of ADS-B technology in particular. AEGIS combines advanced time-based scheduling in terminal airspace, controller managed spacing tools, and flight deck interval management to achieve sustained fuel efficient operations during periods of high traffic demand. In coordination with the FAA and industry partners, AEGIS will conduct a series of high-fidelity human-in-the-loop simulations and operational demonstrations of advanced terminal operations.