Description: This SBIR research provides a significant improvement over current-day post operations analysis (POA) methods and operational shortfalls identification techniques with significant commercialization potential. In Phase I, ATAC developed a machine learning based aviation POA decision support tool (DST) for providing automated, results-oriented POA outcomes. We provided a proof-of-concept for this POA DST by demonstrating how the Phase I prototype allows airline, airport and FAA personnel at the Charlotte Douglas International Airport (CLT) to perform faster, more efficient and results-oriented post analysis of individual departure banks to obtain actionable operational insights. We are currently carrying forward this research in Phase II of our SBIR project towards the eventual goal of developing a commercial licensable Cloud-based POA Platform that can be accessed by NASA, FAA, airline, airport or other commercial systems or personnel in a “Platform-As-A-Service” (PAAS) mode. This capability provides a one-stop platform for gate-to-gate, complete POA including aviation data acquisition, storage, analytics, and root cause diagnosis, in a post-analysis mode as well as a real-time, continuous operations monitoring mode. The proposed Phase II-E efforts apply and enhance SBIR-developed machine learning techniques to provide reliable identification of operational shortfalls that could be alleviated by Trajectory Based Operations (TBO) capabilities and quantification of the associated TBO benefits pools.

Benefits: ATD-2: CIDAS-P collective inference based ops analysis complements ATD-2 CLT operations analysis, continuous monitoring of operations supports Strategic Scheduler development ATD-3: Collective inference analysis on weather-driven en route rerouting scenarios. ATM-X: Evaluating the relative effectiveness of IDM TBFM-TFMS coordination strategies SWS: Reliable, automated collective inference based guidance on false positive and missed anomaly detection alerts

FAA: TBO benefits analysis and monitoring capability; NAS weather impact analysis tool, and a post-operations TFM evaluation system. Airlines/Airports: Improved analysis of irregular operations responses, airline network-wide flight scheduling, gate turnaround and ramp operations, diversions and cancellations; Improved management of airport construction schedules and departure metering operations.