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

Victor Fernando Gomez Comendador (1) , Rosa Maria Arnaldo Valdés (1) , Andrija Vidosavljevic (2) , Marta Sanchez Cidoncha , Shutao Zheng

1 UPM - Universidad Politécnica de Madrid
2 ENAC - Ecole Nationale de l'Aviation Civile

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

Mots clés: complexity; DAC; DCB; FCA; SESAR capacity management; TBO; uncertainty

Domaines: Optimisation et contrôle [math.OC]

Victor Fernando Gomez Comendador, Rosa Maria Arnaldo Valdés, Andrija Vidosavljevic, Marta Sanchez Cidoncha, Shutao Zheng. Impact of Trajectories’ Uncertainty in Existing ATC Complexity Methodologies and Metrics for DAC and FCA SESAR Concepts. Energies, 2019, 12 (8), pp.1559. ⟨10.3390/en12081559⟩. ⟨hal-02135334⟩