Impact of continuous climb operations on airport capacity

Perez Castan, Javier Alberto ORCID:, Gomez Comendador, Victor Fernando ORCID:, Rodriguez Sanz, Alvaro ORCID:, Barragan Montes, Ana Del Rocio ORCID:, Arnaldo Valdes, Rosa Maria ORCID: and Perez Sanz, Luis ORCID: (2018). Impact of continuous climb operations on airport capacity. "Transportation Research Part C : Emerging Technologies", v. 96 ; pp. 231-250. ISSN 0968-090X.


Title: Impact of continuous climb operations on airport capacity
Item Type: Article
Título de Revista/Publicación: Transportation Research Part C : Emerging Technologies
Date: November 2018
ISSN: 0968-090X
Volume: 96
Freetext Keywords: Air transport; Continuous climb operations; Airport capacity; Conflict-detection algorithm
Faculty: E.T.S. de Ingeniería Aeronáutica y del Espacio (UPM)
Department: Sistemas Aeroespaciales, Transporte Aéreo y Aeropuertos
Creative Commons Licenses: Recognition - No derivative works - Non commercial

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The full benefits of Continuous Climb Operations (CCO) are realised when CCO are performed without interruption. However, CCO require safe departures that necessarily implies a reduction in capacity at high density traffic airports. This paper quantifies the capacity impact due to the integration of CCO (conflict-free with other departures and arrivals) in a high density traffic airport. The methodology develops a scheduling algorithm, a conflict-detection and resolution algorithm, and Monte Carlo simulations. The scheduling algorithm calculates two schedules, one for departures and another for arrivals, considering the CCO Rate. The conflict-detection and resolution algorithm compares CCO and arrival trajectories to detect which aircraft pairs are in conflict. The Air Traffic Control (ATC) intervention required to solve the conflict is modelled by delaying the CCO take-off. Numerical simulations based on Monte Carlo techniques are used to analyse scheduling combinations that are statistically significant in terms of conflict, ATC interventions, total delay and capacity. The results show a 32% reduction in the maximum theoretical capacity with a CCO Rate of 100%. Despite the reduction, the number of CCO departures is above the maximum operational capacity (50% of the maximum theoretical capacity). This implies that with optimised scheduling it is possible for all departures to be CCO.

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Item ID: 52453
DC Identifier:
OAI Identifier:
DOI: 10.1016/j.trc.2018.09.008
Official URL:
Deposited by: Memoria Investigacion
Deposited on: 15 Nov 2018 10:57
Last Modified: 01 Dec 2019 23:30
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