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Información del proyecto

ID: 783222

Fecha inicio

01-01-2018

Fecha fin

31-12-2019


Coordinador institucional
Universidad Politécnica de Madrid

Financiación

100 750,00 Euros
(Total amount or amount awarded)

Más información en

Análisis de autorías institucional

Rodriguez Sanz, AlvaroParticipanteArnaldo Valdes, Rosa MariaInvestigador principalGomez Comendador, Victor FernandoParticipantePerez Castan, Javier AlbertoInvestigador principal

Compartir

16 de marzo de 2021
Proyectos I+D+I y Ayudas
>
Proyecto Competitivo
No

Capacity Optimisation in TrajecTory-based OperatioNs

Investigadores/as: PEREZ CASTAN, JAVIER ALBERTO (Investigador principal (IP)); PEREZ CASTAN, JAVIER ALBERTO (Participante); GOMEZ COMENDADOR, VICTOR FERNANDO (Participante); ARNALDO VALDES, ROSA MARIA (Investigador principal (IP)); RODRIGUEZ SANZ, ALVARO (Participante)

Afiliaciones

UPM. Navegación Aérea (Grupo de investigacion)
UPM. SISTEMAS AEROESPACIALES, TRANSPORTE AÉREO Y AEROPUERTOS (University Department)
UPM. Universidad Politécnica de Madrid (University)
UPM. SISTEMAS AEROESPACIALES, TRANSPORTE AÉREO Y AEROPUERTOS (University Department)

Resumen

Capacity Management proposed by SESAR 2020 is achieved by applying advanced airspace management processes materialised in the management of Dynamic Airspace Configurations (DAC) solution. DAC solution develops sector design, sector configurations and opening schemes processes to optimise the use of the available capacity and balance the ATC workload. Flight Centric ATC solution strengthens Capacity Management by providing additional flexibility and cost-effectiveness as it proposes that controllers are no longer in charge of managing the entire traffic within a given sector. Capacity Management processes benefit from combining these two solutions increasing flexibility in case of "sudden" demand/capacity changes. Trajectory-Based Operations (TBO) allows obtaining reliable information related to trajectory uncertainty thanks to the better reliability of the available trajectory information. Assessment and definition of a proper use of this trajectory uncertainty information within Capacity Management processes will significantly enforce its effectiveness. Optimisation of the Capacity Management processes can be achieved not only incorporating the abovementioned trajectory uncertainty into their associated demand and capacity model, but also developing trajectory-based complexity metrics more suitable to the most innovative aspects of DAC and Flight Centric solutions. COTTON aim is to maximise the effectiveness of the Capacity Management processes in TBO taking full advantage of the available trajectory information. Three sub-objectives are identified: 1. Improve the use of trajectory-based complexity and workload assessment to support Capacity Management enabled by Trajectory-Based Operations (TBO) including uncertainty. 2. Identify and promote the benefits of Trajectory-Based Operations to develop innovative demand/capacity models based on Dynamic Airspace Configuration and Flight Centric ATC solutions. 3. Explore DAC and Flight Centric ATC solutions integration. (Most relevant results)

Palabras clave

Instituciones participantes

Indicios de calidad

Programa

H2020

Agencias financiadoras

sesar ju

Alcance

Internacional no UE

País

Spain

Coordinador institucional

Si

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