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Dispatcher3

Financiado

Cerrado

Innovative processing for flight practices

"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 dispatcher... ver más

30/11/2022

UOW

698K€

Presupuesto del proyecto: 698K€

Líder del proyecto

THE UNIVERSITY OF WESTMINSTER LBG No se ha especificado una descripción o un objeto social para esta compañía.

TRL 4-5

Fecha límite participación Sin fecha límite de participación.

Ver 7 Participantes

Financiación concedida El organismo H2020 notifico la concesión del proyecto el día 2022-11-30

JTI-CS2-2019-CfP10-SYS-01-16: Innovative processing for flight pr... Specific Challenge:Reduction of direct operating costs is a permanent must for airlines. Complementa...

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Características del participante

Este proyecto no cuenta con búsquedas de partenariado abiertas en este momento.

Información adicional privada

No hay información privada compartida para este proyecto. Habla con el coordinador.

7 Participantes

UOW

188.38K€ | Lider

FIBROSTATIN

1.38M€ | Participante

UPC

93.50K€ | Participante

IMDEA NETWORKS

223.75K€ | Participante

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Duración del proyecto: 31 meses Fecha Inicio: 2020-04-22
Fecha Fin: 2022-11-30

Líder del proyecto

THE UNIVERSITY OF WESTMINSTER LBG No se ha especificado una descripción o un objeto social para esta compañía.

TRL 4-5

Presupuesto del proyecto 698K€

Fecha límite de participación Sin fecha límite de participación.

Descripción del proyecto "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."

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