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Capacity Optimisation in TrajecTory-based OperatioNs


Validation Report

It will present the result of the validation and issue recommendations to T2.2 and T3.3.

Impact of trajectories’ uncertainty in existing complexity methodologies

This deliverable will contain the results of T2.1 including the complete set of limitations to be addressed in the analysed complexity and WL methodologies.

Capacity Management processes considering DAC and FCA solutions in TBO

It will present a reviewed demand and capacity model, considering the implementation of DAC and FCA solutions that integrates WP2 complexity and WL methodologies on it as well as taking into account uncertainty. This deliverable will collect T3.1 and T3.2 results. The second update of this deliverable (T0+22) will consist of an update of the model to take into account T3.3 identified solutions to address boundaries and opportunities for integration of DAC and FCA. The validation results and recommendations will also be considered in this update.

Final Project Results Report

Project findings will be consolidated in the Final Project Results Report which will summarise its results and present the evidence of benefits and operational feasibility, the technology risks and costs, the regulatory implications and a preliminary proposed Plan for next R&D phases.

Innovative complexity and workload assessment to support future Capacity Management processes in TBO

It will describe the complexity and WL improved metrics developed to support DAC and FCA based on D2.1 identified limitations. The second update of this deliverable (T0+22) will refine the methodologies to include validation results coming from WP4 and will provide innovative trajectory-based approaches to support future Capacity Management processes considering the integration of DAC and FCA solutions in a TBO environment.

Validation Plan

It will describe the validation exercises to be performed, set the validation objectives, the indicators to be measured and the scenarios and use cases to be implemented.


Bayesian Network Modelling of ATC Complexity Metrics for Future SESAR Demand and Capacity Balance Solutions

Author(s): Victor Gomez Comendador, Rosa Arnaldo Valdés, Manuel Villegas Diaz, Eva Puntero Parla, Danlin Zheng
Published in: Entropy, Issue 21/4, 2019, Page(s) 379, ISSN 1099-4300
Publisher: Multidisciplinary Digital Publishing Institute (MDPI)
DOI: 10.3390/e21040379

Impact of Trajectories’ Uncertainty in Existing ATC Complexity Methodologies and Metrics for DAC and FCA SESAR Concepts

Author(s): Gomez Comendador, Arnaldo Valdés, Vidosavljevic, Sanchez Cidoncha, Zheng
Published in: Energies, Issue 12/8, 2019, Page(s) 1559, ISSN 1996-1073
Publisher: Multidisciplinary Digital Publishing Institute (MDPI)
DOI: 10.3390/en12081559

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