Sectorless air traffic management (or flight-centric ATC as it is known in the SESAR context) is a novel concept that restructures the airspace to make better use of the human controller as a resource. Currently investigations on the introduction of a team concept for sectorless air traffic management is being conducted. As part of this team concept, a position takeover concept is being investigated that would reduce the need for a ramp up and decline in traffic when a new controller team takes over a position that is at the end of their shift. From the results new concepts to reduce the loss of knowledge and difficulty of the position takeover are introduced that should be investigated in subsequent experiments. Further, general features of the team concept are investigated, like frequency occupancy data, controller workload and an evaluation of the tools that are available controllers.@en

In this paper we discuss an algorithm to determine the level of attention which an aircraft under control requires in a sectorless ATM environment. Data were gathered by means of an experiment in which air traffic controllers from Hungarocontrol were tasked with evaluating scenarios within a sectorless airspace. These controllers were asked how much attention an aircraft under control requires, as well as the influence of the surrounding traffic on it. With this data a set of rules was developed, using the principles of fuzzy logic, which will form the basis of the algorithm. On the basis of this algorithm several tools for the sectorless ATM concept can be developed like a priority list of the aircraft under control, a filtering algorithm for the radar display and a heat map showing expected critical points on the trajectory of an aircraft. @en

In air traffic management, optimization is often restricted to local areas, e.g., to the vicinity of airports. Procedures around these areas stay unchanged, and effects from optimizations concerning ecological efficiency are not considered adequately. Investigating new concepts, this typically results in local gain of efficiency without proving the global benefit. The project World Wide Air Traffic Management (WW-ATM) creates a platform for optimization and validation of world-wide concepts considering feasibility, throughput, costs-and ecological efficiency, and robustness respectively fault liability. Based on different evaluation and optimization tools, complete traffic scenarios can be analyzed and improved both strategically and tactically.

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