TRANSPARENT ARTIFICIAL INTELLIGENCE AND AUTOMATION TO AIR TRAFFIC MANAGEMENT SYSTEMS

Project Information

ARTIMATION

Grant agreement ID: 894238

DOI 10.3030/894238

Project closed

EC signature date 19 October 2020

Start date 1 January 2021

End date 31 December 2022

Funded under

• SOCIETAL CHALLENGES - Smart, Green And Integrated Transport

Total cost € 999 375,00

EU contribution € 999 375,00

Coordinated by

MALARDALENS UNIVERSITET
Sweden

Deliverables

Documents, reports (13)

Report on the Development plan based on ATM tasks with supporting AI

The Development plan based on ATM tasks with supporting AI

Report on risk management plan

Main objective of this task is to develop a quality assurance plan

Final Dissemination Report
Validation Plan

Validation Plan of the maturity assessment of ARTIMATION

Report on Ethical Framework for handling personal data, and sharing and access to data within ARTIMATION

Specification of legal premises following GDPR

Final Project Results Report

A final report that summarizing the project outcomeresults

Communication, Dissemination and exploitation plan

Dissemination to a wider audience will take several forms, which will be represented in the Dissemination/Communication Plan that will be created during the first months of the project and review in all the consortium meetings in order to have it properly updated.

Report and guidelines on AI Transparency and Generalisation

Guidelines on AI Transparency and Generalisation

Report on State of Art - AI support in ATM

State of Art study in AI support in ATM field

Validation Report i.e. the maturity assessment of ARTIMATION

The analysis on the maturity assessment of ARTIMATION

Project Management Plan

Project coordination and management Scientific management

Ethical and Legal report

A report on Ethical and Legal issues

Intermediate Dissemination Report

Ongoing Dissemination Report

Open Research Data Pilot (1)

Data management Plan

Data management collection and operation definition

Publications

Peer reviewed articles (5)

A Survey on Artificial Intelligence (AI) and eXplainable AI in Air Traffic Management: Current Trends and Development with Future Research Trajectory

Author(s): Degas A, Islam MR, Hurter C, Barua S, Rahman H, Poudel M, Ruscio D, Ahmed MU, Begum S, Rahman MA, Bonelli S, Cartocci G, Di Flumeri G, Borghini G, Babiloni F, Aricó P.
Published in: Applied Sciences, 2022, ISSN 2076-3417
Publisher: MDPI
DOI: 10.3390/app12031295

A Systematic Review of Explainable Artificial Intelligence in Terms of Different Application Domains and Tasks

Author(s): Islam, M.R.; Ahmed, M.U.; Barua, S.; Begum, S.
Published in: Applied Sciences, 2022, ISSN 2076-3417
Publisher: MDPI
DOI: 10.3390/app12031353

Joint Analysis of Eye Blinks and Brain Activity to Investigate Attentional Demand during a Visual Search Task.

Author(s): Nicolina Sciaraffa; Gianluca Borghini; Gianluca Di Flumeri; Febo Cincotti; Fabio Babiloni; Pietro Aricò
Published in: Brain Sciences, Issue 1, 2021, ISSN 2076-3425
Publisher: Multidisciplinary Digital Publishing Institute (MDPI)
DOI: 10.3390/brainsci11050562

A Video-Based Technique for Heart Rate and Eye Blinks Rate Estimation: A Potential Solution for Telemonitoring and Remote Healthcare.

Author(s): Vincenzo Ronca; Andrea De Giorgi; Dario Rossi; Antonello Di Florio; Gianluca Di Flumeri; Pietro Aricò; Nicolina Sciaraffa; Alessia Vozzi; Luca Tamborra; Ilaria Simonetti; Gianluca Borghini
Published in: Sensors (Basel, Switzerland), Issue 2, 2021, ISSN 1424-8220
Publisher: Multidisciplinary Digital Publishing Institute (MDPI)
DOI: 10.3390/s21051607

Air Force Pilot Expertise Assessment during Unusual Attitude Recovery Flight

Author(s): Gianluca Borghini; Pietro Aricò; Gianluca Di Flumeri; Vincenzo Ronca; Andrea Giorgi; Nicolina Sciaraffa; Claudio Conca; Simone Stefani; Paola Verde; Angelo Landolfi; Roberto Isabella; Fabio Babiloni
Published in: Safety; Volume 8; Issue 2; Pages: 38, Issue 2, 2022, ISSN 2313-576X
Publisher: mdpi
DOI: 10.3390/safety8020038

Conference proceedings (3)

Toward a more transparent and explainable conflict resolution algorithm for air traffic controllers

Author(s): Christophe Hurter , Augustin Degas , Arnaud Guibert , Nicolas Durand , Mir Riyanul Islam, Shaibal Barua, Hamidur Rahman, Daniele Ruscio , Mobyen Uddin Ahmed, Shahina Begum, Stefano Bonelli , Giulia Cartocci , Gianluca Di Flumeri , Gianluca Borghini , Fabio Babiloni , Pietro Aricò
Published in: Conference of the European Association for Aviation Psychology (EAAP22), Issue 23521457, 2022, ISSN 2352-1457
Publisher: Elsevier
DOI: 10.5281/zenodo.7148652

Transparent Artificial intelligence and Automation to Air Traffic Management Systems: Conflict Detection and Resolution

Author(s): Christophe,Hurter; Degas, Augustin; Islam, Mir Riyanul; Barua, Shaibal; Rahman, Hamidur; Poudel, Minesh; Ruscio, Daniele; Ahmed, Mobyen Uddin; Begum, Shahina; Rahman, Md Aquif; Bonelli, Stefano; Cartocci, Giulia; Di Flumeri, Gianluca; Borghini, Gianluca; Aricó, Pietro; Babiloni, Fabio
Published in: Poster made for ICCAS 2022, explaining the work done to explain an AI dealing with Conflict Detection & Avoidance (CD&R) in Air Traffic Management, 2022
Publisher: ICCAS
DOI: 10.5281/zenodo.7149224

When a CBR in Hand is Better than Twins in the Bush

Author(s): Mobyen Uddin Ahmed, Shaibal Barua, Shahina Begum, Mir Riyanul Islam, Rosina O Weber
Published in: Fourth Workshop on XCBR: Case-Based Reasoning for the Explanation of Intelligent Systems at ICCBR-2022, 2022
Publisher: CEUR-WS.org
DOI: 10.5281/zenodo.7022471