Authors
Alessandro Gardi, Matthew Marino, Subramaniam Ramasamy, Roberto Sabatini, Trevor Kistan
Publication date
2016/9/25
Conference
2016 IEEE/AIAA 35th Digital Avionics Systems Conference (DASC)
Pages
1-7
Publisher
IEEE
Description
This paper presents Multi Objective Trajectory Optimization (MOTO) algorithms that were developed for integration in state-of-the-art Air Traffic Management (ATM) and Air Traffic Flow Management (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 user-defined operational, economic and environmental objectives can be integrated as necessary. Two different MOTO algorithms are developed for future implementation in ATM systems: an en-route variant and a Terminal Manoeuvring Area (TMA) variant. In particular, the automated optimal 4DT replanning algorithm for en-route airspace operations …
Total citations
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Scholar articles
A Gardi, M Marino, S Ramasamy, R Sabatini, T Kistan - 2016 IEEE/AIAA 35th Digital Avionics Systems …, 2016