CORDIS
EU research results

CORDIS

English EN

Towards an Automated and exPlainable ATM System

Project information

Grant agreement ID: 892358

Status

Ongoing project

  • Start date

    1 June 2020

  • End date

    30 November 2022

Funded under:

H2020-EU.3.4.7.

  • Overall budget:

    € 997 410

  • EU contribution

    € 997 410

Coordinated by:

CENTRO DE REFERENCIA INVESTIGACION DESARROLLO E INNOVACION ATM, A.I.E.

Spain

Objective

As Artificial Intelligence (AI) becomes an increasing part of our lives in general, individuals are finding that the need to trust these AI based systems is paramount. Air Traffic Management (ATM) is not an stranger to this: with a system close to, or already at, a saturation level, AI applications are considered a main enabler to reach higher levels of automation.

This would mean a fundamental shift in the automation approach when moving from the classical human-machine interaction to a potentially much richer solution enabled by these AI systems, in which trust in the operations needs to be generated. As humans, operators must be able to fully understand how decisions are being made so that they can trust the decisions of AI systems. The lack of explainability and trust hampers the ability (both individual and global) to fully trust AI systems.

TAPAS aims at exploring highly automated AI-based scenarios through analysis and experimental activities applying eXplainable Artificial Intelligence (XAI) and Visual Analytics, in order to derive general principles of transparency which pave the way for the application of these AI technologies in ATM environments, enabling higher levels of automation.

Specifically, TAPAS will:

• Analyse two operational environments: ATC (Air Traffir Control)Conflict Detection & Resolution (tactical), and Air Traffic Flow Management (pre-tactical). For them, levels of automation 1 to 3 according to SESAR Model will be considered.
• Develop eXplainable Artificial Intelligence (XAI) prototypes addressing the requirements and acceptability criteria of the scenarios.
• Run experiments that assess the applicability of these XAI modules in the higher levels of automation considered, exploring different ways of interaction and information exchange.
• Apply Visual Analytics techniques to contribute to explainability of decissions.
• Extract conclusions, principles and recommendations related to transparency of AI in ATM.

Coordinator

CENTRO DE REFERENCIA INVESTIGACION DESARROLLO E INNOVACION ATM, A.I.E.

Address

Avda De Aragon 402 4 Edificio Allende
28022 Madrid

Spain

Activity type

Research Organisations

EU Contribution

€ 212 750

Participants (5)

BOEING RESEARCH & TECHNOLOGY EUROPE S.L.U.

Spain

EU Contribution

€ 156 241,25

FRAUNHOFER GESELLSCHAFT ZUR FOERDERUNG DER ANGEWANDTEN FORSCHUNG E.V.

Germany

EU Contribution

€ 174 100

INDRA SISTEMAS SA

Spain

EU Contribution

€ 128 625

ISA SOFTWARE

United Kingdom

EU Contribution

€ 163 443,75

UNIVERSITY OF PIRAEUS RESEARCH CENTER

Greece

EU Contribution

€ 162 250

Project information

Grant agreement ID: 892358

Status

Ongoing project

  • Start date

    1 June 2020

  • End date

    30 November 2022

Funded under:

H2020-EU.3.4.7.

  • Overall budget:

    € 997 410

  • EU contribution

    € 997 410

Coordinated by:

CENTRO DE REFERENCIA INVESTIGACION DESARROLLO E INNOVACION ATM, A.I.E.

Spain