Objective
"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.
"
Fields of science (EuroSciVoc)
CORDIS classifies projects with EuroSciVoc, a multilingual taxonomy of fields of science, through a semi-automatic process based on NLP techniques. See: https://op.europa.eu/en/web/eu-vocabularies/euroscivoc.
CORDIS classifies projects with EuroSciVoc, a multilingual taxonomy of fields of science, through a semi-automatic process based on NLP techniques. See: https://op.europa.eu/en/web/eu-vocabularies/euroscivoc.
- natural sciencescomputer and information sciencesdata sciencebig data
- engineering and technologymechanical engineeringvehicle engineeringaerospace engineeringaircraft
- natural sciencescomputer and information sciencesartificial intelligencemachine learningreinforcement learning
- engineering and technologyenvironmental engineeringenergy and fuels
- social sciencessocial geographytransporttransport planningair traffic management
You need to log in or register to use this function
We are sorry... an unexpected error occurred during execution.
You need to be authenticated. Your session might have expired.
Thank you for your feedback.
You will soon receive an email to confirm the submission. If you have selected to be notified about the reporting status, you will also be contacted when the reporting status will change.
Programme(s)
Topic(s)
Funding Scheme
SESAR-RIA - Research and Innovation actionCoordinator
185 33 PIRAEUS
Greece