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

Victor Fernando Gomez Comendador, Rosa María Arnaldo Valdés, Andrija Vidosavljevic, Marta Sanchez Cidoncha and Shutao Zheng
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Victor Fernando Gomez Comendador: School of Aerospace Engendering, Technical university of Madrid, 28040 Madrid, Spain
Rosa María Arnaldo Valdés: School of Aerospace Engendering, Technical university of Madrid, 28040 Madrid, Spain
Andrija Vidosavljevic: ENAC, Université de Toulouse, 31055 Toulouse CEDEX 4, France
Marta Sanchez Cidoncha: CRIDA A.I.E ATM R&D + Innovation Reference Centre, 28022 Madrid, Spain
Shutao Zheng: CRIDA A.I.E ATM R&D + Innovation Reference Centre, 28022 Madrid, Spain

Energies, 2019, vol. 12, issue 8, 1-25

Abstract: The most relevant SESAR 2020 solutions dealing with future Capacity Management processes are Dynamic Airspace Configuration (DAC) and Flight Centric ATC (FCA). Both concepts, DAC and FCA, rely on traffic flow complexity assessment. For this reason, complexity assessments processes, methods and metrics, become one of the main constraints to deal with the growing demand and increasing airspace capacity. The aim of this work is to identify the influence of trajectories’ uncertainty in the quality of the predictions of complexity of traffic demand and the effectiveness of Demand Capacity Balance (DCB) airspace management processes, in order to overcome the limitations of existing complexity assessment approaches to support Capacity Management processes in a Trajectory-Based Operations (TBO) environment. This paper presents research conducted within COTTON project, sponsored by the SESAR Joint Undertaking and EU’s Horizon 2020 research and innovation program. The main objective is to deliver innovative solutions to maximize the performance of the Capacity Management procedures based on information in a TBO environment.

Keywords: complexity; DAC; DCB; FCA; SESAR capacity management; TBO; uncertainty (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2019
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