Next generation air traffic management systems research - Report No. 3: Implementation and verification of 4-dimensional route planning and dynamic airspace functionalities

Gardi, A, Ramasamy, S, Marino, M, Sabatini, R, Bernard-Flattot, P, Kistan, T and O'Flynn, M 2016, Next generation air traffic management systems research - Report No. 3: Implementation and verification of 4-dimensional route planning and dynamic airspace functionalities, RMIT University and THALES Group, Melbourne, Australia


Document type: Commissioned Reports
Collection: Commissioned Reports

Title of report Next generation air traffic management systems research - Report No. 3: Implementation and verification of 4-dimensional route planning and dynamic airspace functionalities
Author(s) Gardi, A
Ramasamy, S
Marino, M
Sabatini, R
Bernard-Flattot, P
Kistan, T
O'Flynn, M
Year of publication 2016
Publisher RMIT University and THALES Group
Place of publication Melbourne, Australia
Subjects Flight Dynamics
Avionics
Optimisation
Abstract/Summary This report provides a detailed description of the activities performed by RMIT University in collaboration with THALES Australia as part of project No. 0200312837. This is the third and last report of a series, addressing the final results of the research and development activities accomplished on Next Generation Air Traffic Management (ATM) Systems. A very detailed and comprehensive review of methods and approaches identified in the literature for the implementation of Multi-Objective 4-Dimensional Trajectory Optimisation (4D-MOTO) and Dynamic Airspace Resource Allocation (DARA) functionalities is presented. Additionally, their impact on Air Traffic Flow Management (ATFM) Decision Support Systems (DSS) design and operation is described. The report subsequently describes the development activities performed to implement MOTO functionalities for integration in state-of-the-art Air Traffic Management (ATM) and ATFM systems. The MOTO algorithms are conceived for the automation-assisted replanning of 4-Dimensional Trajectories (4DT) when unforeseen perturbations arise at strategic and tactical online operational timeframes. The MOTO algorithms take into account updated weather and neighbouring traffic data, as well as the related forecasts from selected sources. Multiple operational, economic and environmental objectives can be user-defined as necessary.
Commissioning body RMIT University and THALES Australia
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