Consensus Algorithms and Data Exchange for Trajectory Negotiation

Trajectory-based operations (TBO) offer a major change in air traffic management with the potential for substantial performance and safety benefits. Considering the scope of the changes, TBO concepts must pass stringent hurdles for demonstrating technical feasibility, operational benefits, and safety. A successful TBO concept should provide benefits in the near term by using existing airline and FAA systems, while offering the pathway to greatly enhanced TBO capabilities in the mid-to-far terms.The analytical and data exchange framework proposed by Robust Analytics to develop and evaluate TBO alternatives builds from the understanding that different participants will possess superior information in selected areas. The FAA ground domain has the most complete understanding of total system traffic, weather, and constraints. Individual aircraft have superior, real-time information on flight performance capabilities, the airline operations center (AOC) acts as the information nerve center for the airline and possesses the most comprehensive understanding of the airline network and each flight’s role in that network, and is responsible for achieving the airline’s business objectives. One of the challenges for implementing TBO is facilitating the timely negotiations to determine trajectories that simultaneously meet airline business objectives and tight required time of arrival (RTA) for traffic management purposes. With multiple sources of uncertainty in flight operations, TBO concepts must be able to negotiate trajectory changes to satisfy multiple objectives while responding to uncertainties and constraints in the NAS.For Phase I, Robust Analytics will describe a detailed TBO negotiation process and use case; develop an architecture for exchanging the required data among the AOC, aircraft, and traffic flow management to facilitate TBO negotiations; and conduct a proof of concept demonstration.