Being certain of our uncertainty… probably



World ATM Congress 2018, Workshop DATA DRIVEN ATM: GOING DIGITAL!

Here is the presentation that was provided by COPTRA during the workshop.


COPTRA WAC Pub (1.4 MiB)


COPTRA together with other SESAR ER projects and the Technical University of Madrid (UPM) have prepared a workshop during the World ATM Congress in Madrid, 8th of March 2017. The workshop will describe the state of the art and identify the areas of interest and key technologies that are needed to be developed in the future, regarding the use of Big Data techniques in the Air Traffic Management area.

It will have two distinct sections. The first one will consist of a set of short presentations describing the state of the art of Big Data research in ATM, whilst the second one will run a Panel that combines operational and technical experts.

The objective of the first session is to allow the workshop participants to recognize what has been achieved and which techniques are currently used in the ATM research domain. Three projects sponsored by the SESAR Exploratory Research programme will presents their research in this area: COPTRA ( ), DART (( )) and BigData4ATM (  ). A fourth presentation performed by the Technical University of Madrid (UPM), will provide additional insight into applied Big Data research in the areas of trajectory research and safety (

The Panel aims to identify the areas of interest of key ATM actors, as well the technologies that are needed to be developed in the Big Data in the ATM domain. Amongst the panellists you will find representatives from CANSO, IATA, Airbus, Boeing and the Fraunhofer Institute. The panel will be moderated by CRIDA.

You can find a link to the World ATM Congress 2018 Nokia ATM theatre page here. This will an open seating event, thus there is no need to register.

Information and Agenda:

20180308 Data Driven ATM Going Digital INVITATION - FINAL (861.6 KiB)


Trajectory Based Operations (TBO) is expected to be one of the major improvements of the future ATM system. TBO will provide flexibility to airspace users and increase predictability of the ATM network so that ANSPs can better manage their resources. In order to implement a TBO environment a number of problems need to be addressed, amongst which are the following:

  • Develop the potential benefits of TBO with a better knowledge of trajectory uncertainty.
  • Integration of trajectory uncertainty models in traffic prediction to improve the predictability needed by the ATM system to maximise its performances.
  • Assess the feasibility of integrating these models into existing DCB tools
COPTRA will address these problems within the context of a two year Exploratory Research Project. Volumenes Basicos

COPTRA is funded by the European Union H2020 Programme and the SESAR Joint Undertaking under Grant Agreement number 699274 of the call H2020-SESAR-2015-1.



crida  ec-color-online-large Istanbul Technical University  UCL verti eps382


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