Abstract

Current and future air traffic is requiring new procedures and systems to achieve a greater automation and efficiency of the air traffic operations. On controlled air space and airports, centralized ATC support the real time complexity of air traffic management. But on non-controlled aerodromes, used mainly by general aviation, the absence of ATC support may limit the increase of this type of air traffic. General aviation aircraft fly under VFR and only when weather and visibility conditions are good. Their flight is the closest approach to free flight new concept but without the technological support of avionics to make decisions. An aeronautical radio and a GPS are in most cases their available technologies on board. This paper proposes an air-air negotiation protocol for general aviation approaching an aerodrome without ATC. The technological requirement of the protocol is the aeronautical radio enhanced with an ACARS avionics. A fast decision making algorithm is proposed to solve landing time requests based on changes in speed and on the use of a same landing procedure. The protocol has been tested for several scenarios involving up to ten aircraft with satisfactory results. Document type: Conference object

Abstract

Trajectory prediction and optimisation algorithms will be the keystone for a successful trajectory based operations concept implementation, where accurate predictions and optimal trajectories will be needed for a wide variety of look-ahead times and operational contexts. The main goal of this paper is to present the architecture and capabilities of an aircraft trajectory prediction and optimisation framework suitable for various air traffic management research applications. The flexibility of this framework, called DYNAMO, allows for an easy implementation and assessment of actual and future concepts of operation, considering at the same time realistic weather data and aircraft performance models. In addition, its design enables the use for real-time applications and when a large set of trajectories needs to be rapidly generated for simulation and benchmarking purposes. The performance of the framewor Peer Reviewed