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Data-driven AiRcraft Trajectory prediction research


Data-driven AiRcraft Trajectory prediction research

Call for proposal: 
Link to CORDIS:

"DART (Data-driven AiRcraft Trajectory prediction research) addresses the topic “ER-02-2015 - Data Science in ATM” exploring the applicability of data science and complexity science techniques to the ATM domain. DART will deliver understanding on the suitability of applying big data techniques for predicting multiple correlated aircraft trajectories based on data driven models and accounting for ATM network complexity effects.

DART will blend computer science non-ATM specific expertise from University of Piraeus Research Center (UPRC, Greece) and Fraunhofer-Gesellschaft zur Förderung der angewandten Forschung e.V. (FRHF, Germany) and ATM state of the art and business needs knowledge from Centro de Referencia de Investigación, Desarrollo e Innovación (CRIDA, Spain) and Boeing Research and Technology Europe (BR&T-E, Spain) in a two years long effort.

Data Science is being pervasively applied to many businesses today has even make room for provoking proposals like the now famous form Anderson, Chris: "The end of theory: The Data Deluge Makes the Scientific Method Obsolete." Wired magazine 16.7 (2008): 16-07. DART aims to avoid this hype and present to the ATM community an understanding on what can be achieved today in trajectory prediction using data-driven models."

Institution Type:
Institution Name: 
European Commission
Type of funding:
Lead Organisation: 

University Of Piraeus Research Center

Gr. Lampraki 122
185 32 Piraeus
EU Contribution: 
Partner Organisations: 

Centro De Referencia Investigacion Desarrollo E Innovacion Atm, A.i.e.

Avda De Aragon 402 4 Edificio Allende
N/A Madrid
EU Contribution: 

Fraunhofer Gesellschaft Zur Foerderung Der Angewandten Forschung E.v.

Carl-Zeiss-Str. 18-20
55129 Mainz
EU Contribution: 

Boeing Research & Technology Center

Cañada Real de las Merinas 1-3, Edificio 4
28042 MADRID
EU Contribution: 
Development phase: