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Memorias de investigación
Artículos en revistas:
4D-trajectory time windows: definition and uncertainty management
Año:2019
Áreas de investigación
  • Ingeniería mecánica, aeronaútica y naval
Datos
Descripción
The use of the 4D trajectory operational concept in the future air traffic management (ATM) system will require the aircraft to meet very accurately an arrival time over a designated checkpoint. To do this, time intervals known as time windows (TW) are defined. The purpose of this paper is to develop a methodology to characterise these TWs and to manage the uncertainty associated with the evolution of 4D trajectories.Design/methodology/approach ? 4D trajectories are modelled using a point mass model and EUROCONTROL?s BADA methodology. The authors stochastically evaluate the variability of the parameters that influence 4D trajectories using Monte Carlo simulation. This enables the authors to delimit TWs for several checkpoints. Finally, the authors set out a causal model, based on a Bayesian network approach, to evaluate the impact of variations in fundamental parameters at the chosen checkpoints. Findings ? The initial results show that the proposed TW model limits the deviation in time to less than 27 s at the checkpoints of an en-route segment (300 NM). Practical implications ? The objective of new trajectory-based operations is to efficiently and strategically manage the expected increase in air traffic volumes and to apply tactical interventions as a last resort only. We need new tools to support 4D trajectory management functions such as strategic and collaborative planning. The authors propose a novel approach for to ensure aircraft punctuality. Originality/value ? The main contribution of the paper is the development of a model to deal with uncertainty and to increase predictability in 4D trajectories, which are key elements of the future airspace operational environment.
Internacional
Si
JCR del ISI
Si
Título de la revista
Aircraft Engineering And Aerospace Technology
ISSN
1748-8842
Factor de impacto JCR
0,519
Información de impacto
Datos JCR del año 2016
Volumen
DOI
10.1108/AEAT-01-2018-0031
Número de revista
Desde la página
1
Hasta la página
1
Mes
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Ranking
Esta actividad pertenece a memorias de investigación
Participantes
  • Autor: Alvaro Rodriguez-Sanz (UPM)
  • Autor: Victor Fernando Gomez Comendador (UPM)
  • Autor: Rosa Maria Arnaldo Valdes (UPM)
  • Autor: Javier Alberto Perez Castan (UPM)
  • Autor: Mar Najar Godoy (ISDEFE)
Grupos de investigación, Departamentos, Centros e Institutos de I+D+i relacionados
  • Creador: Departamento: Sistemas Aeroespaciales, Transporte Aéreo y Aeropuertos
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