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COTTON SIGNED

Capacity Optimisation in TrajecTory-based OperatioNs

Total Cost €

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EC-Contrib. €

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Partnership

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Project "COTTON" data sheet

The following table provides information about the project.

Coordinator
CENTRO DE REFERENCIA INVESTIGACION DESARROLLO E INNOVACION ATM, A.I.E. 

Organization address
address: AVDA DE ARAGON 402 4 EDIFICIO ALLENDE
city: Madrid
postcode: 28022
website: www.crida.es

contact info
title: n.a.
name: n.a.
surname: n.a.
function: n.a.
email: n.a.
telephone: n.a.
fax: n.a.

 Coordinator Country Spain [ES]
 Project website http://cotton-er.eu
 Total cost 1˙008˙342 €
 EC max contribution 622˙522 € (62%)
 Programme 1. H2020-EU.3.4.7. (SESAR JU)
 Code Call H2020-SESAR-2016-2
 Funding Scheme SESAR-RIA
 Starting year 2018
 Duration (year-month-day) from 2018-01-01   to  2019-12-31

 Partnership

Take a look of project's partnership.

# participants  country  role  EC contrib. [€] 
1    CENTRO DE REFERENCIA INVESTIGACION DESARROLLO E INNOVACION ATM, A.I.E. ES (Madrid) coordinator 191˙022.00
2    DEUTSCHES ZENTRUM FUER LUFT - UND RAUMFAHRT EV DE (KOELN) participant 129˙062.00
3    ECOLE NATIONALE DE L AVIATION CIVILE FR (TOULOUSE) participant 119˙437.00
4    UNIVERSIDAD POLITECNICA DE MADRID ES (MADRID) participant 100˙750.00
5    TECHNISCHE UNIVERSITEIT DELFT NL (DELFT) participant 82˙250.00
6    EUROCONTROL - EUROPEAN ORGANISATION FOR THE SAFETY OF AIR NAVIGATION BE (BRUXELLES) participant 0.00

Map

 Project objective

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.

 Deliverables

List of deliverables.
Final Project Results Report Documents, reports 2020-01-13 16:50:59
Validation Report Documents, reports 2020-01-13 16:51:02
Capacity Management processes considering DAC and FCA solutions in TBO Documents, reports 2020-01-13 16:51:00
Innovative complexity and workload assessment to support future Capacity Management processes in TBO Documents, reports 2020-01-13 16:51:00
Impact of trajectories’ uncertainty in existing complexity methodologies Documents, reports 2019-05-28 16:19:31

Take a look to the deliverables list in detail:  detailed list of COTTON deliverables.

 Publications

year authors and title journal last update
List of publications.
2019 Victor Gomez Comendador, Rosa Arnaldo Valdés, Manuel Villegas Diaz, Eva Puntero Parla, Danlin Zheng
Bayesian Network Modelling of ATC Complexity Metrics for Future SESAR Demand and Capacity Balance Solutions
published pages: 379, ISSN: 1099-4300, DOI: 10.3390/e21040379
Entropy 21/4 2019-12-16

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The information about "COTTON" are provided by the European Opendata Portal: CORDIS opendata.

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