CORDIS
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Innovative processing for flight practices

Project information

Grant agreement ID: 886461

Status

Ongoing project

  • Start date

    1 June 2020

  • End date

    30 November 2022

Funded under:

H2020-EU.3.4.5.6.

  • Overall budget:

    € 697 875

  • EU contribution

    € 640 200

Coordinated by:

THE UNIVERSITY OF WESTMINSTER LBG

United Kingdom

Objective

"Dispatcher3 will develop a software prototype for the acquisition and preparation of historical flight data in order to give support to the optimisation of future flights providing predictive capabilities and advice to dispatchers and pilots. This will be done considering airline preferences and the impact of flight missions on overall airline objectives. Dispatcher3 focuses on activities prior to departure: dispatching and pilot advice on how to operate the flight.

Dispatcher3 is composed of three layers: data infrastructure, predictive capabilities and advice capabilities.

The data infrastructure will be powered by DataBeacon, a multi-sided and open-source data storage and processing platform. DataBeacon provides private environments, secure data frames, a full-stack artificial intelligence environment and a scalable highly available on-demand cluster. DataBeacon has been developed and successfully been used in other initiatives by members of the consortium. The infrastructure will allow further developments, based on data science techniques, to be built on the pre-processed datasets.

The predictive capabilities will be provided by the development of two modules: data acquisition and preparation, encompassing data wrangling and descriptive analytics, and a predictive model, which will perform target variable labelling and feature engineering, plus the training, testing and validation of machine learning predictive models for targeted airlines' KPIs.

With the same predictions, different advice could be generated considering user policies. The advice capabilities of Dispatcher3 will be provided by a dedicated advice generator module, which will collect all the information from the predictive analytics and build a decision framework, which could be used by dispatchers and pilots.

Dispatcher3 fits within the activities of CS2 Systems ITD WP1.3 ""FMS and functions"" and addresses some of the high-level objectives and challenges for this ITD defined by CS2."

Coordinator

THE UNIVERSITY OF WESTMINSTER LBG

Address

Regent Street 309
W1b 2uw London

United Kingdom

Activity type

Higher or Secondary Education Establishments

EU Contribution

€ 188 375

Participants (5)

FUNDACION INSTITUTO DE INVESTIGACION INNAXIS

Spain

EU Contribution

€ 223 750

UNIVERSITAT POLITECNICA DE CATALUNYA

Spain

EU Contribution

€ 93 500

PACE AEROSPACE ENGINEERING AND INFORMATION TECHNOLOGY GMBH

Germany

EU Contribution

€ 46 025

VUELING AIRLINES SA

Spain

EU Contribution

€ 64 750

SKEYES

Belgium

EU Contribution

€ 23 800

Project information

Grant agreement ID: 886461

Status

Ongoing project

  • Start date

    1 June 2020

  • End date

    30 November 2022

Funded under:

H2020-EU.3.4.5.6.

  • Overall budget:

    € 697 875

  • EU contribution

    € 640 200

Coordinated by:

THE UNIVERSITY OF WESTMINSTER LBG

United Kingdom