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Modern ATM via Human/Automation Learning Optimisation

Project description

A smart new system to support air traffic controllers

Increased AI and machine learning (ML) automation enable better performance, output, efficiency in solving problems, safety and control of processes. But technology that replaces human activity could create problems when its processes are not understandable for humans. The EU-funded MAHALO project aims to design an automated AI, ML and deep neuronal learning-based explainable system for problem solving between aircrews and air traffic controllers. Trained by the individual operator, the machine will be able to inform the operator what it has learnt. This will increase capacity, performance and safety. Specifically, MAHALO will investigate the impact of transparency (how much the AI is able to explain why it took a specific decision) and conformity (how much the decision taken by the AI is similar to the one a controller would choose). The project will be evaluated in real-time simulations for traffic difficulties, trust, acceptance and controller understanding. MAHALO’s framework will serve as a model for future AI systems.

Field of science

  • /social sciences/sociology/industrial relations/automation
  • /natural sciences/computer and information sciences/artificial intelligence/machine learning/deep learning

Call for proposal

H2020-SESAR-2019-2
See other projects for this call

Funding Scheme

SESAR-RIA - Research and Innovation action

Coordinator

DEEP BLUE SRL
Address
Via Ennio Quirino Visconti 8
00193 Roma
Italy
Activity type
Private for-profit entities (excluding Higher or Secondary Education Establishments)
EU contribution
€ 193 125

Participants (4)

TECHNISCHE UNIVERSITEIT DELFT
Netherlands
EU contribution
€ 265 682,50
Address
Stevinweg 1
2628 CN Delft
Activity type
Higher or Secondary Education Establishments
CHPR CENTER FOR HUMAN PERFORMANCE RESEARCH BV
Netherlands
EU contribution
€ 199 275
Address
Oosteinde 263
2272 AE Voorburg
Activity type
Private for-profit entities (excluding Higher or Secondary Education Establishments)
LINKOPINGS UNIVERSITET
Sweden
EU contribution
€ 188 450
Address
Campus Valla
581 83 Linkoping
Activity type
Higher or Secondary Education Establishments
LUFTFARTSVERKET
Sweden
EU contribution
€ 150 680
Address
Hospitalsgatan 30
602 27 Norrkoping
Activity type
Public bodies (excluding Research Organisations and Secondary or Higher Education Establishments)