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From Prediction to Decision Support - Strengthening Safe and Scalable ATM Services through Automated Risk Analytics based on Operational Data from Aviation Stakeholders

Rezultaty

Risk framework: scope and SoA

This deliverable will define the risk framework scope in terms of data and present the risk models SoA

Impact evaluation of the developed decision support tools for ATM

Deliverable covering the activities described in task 22

User, functional and data requirements

Deliverable covering the activities described in task 2.1 w.r.t. requirements.

Human Factors assessment of risk information provision

This deliverable will provide the result of the HF assessment for real time use of risk information It will be one of the basic input for addressing correctly the OL in WP Predictive Layer

Human interpretability framework for the selected user stories

Technical report summarizing the activities for task T42

Dissemination and communication actions

lthough D52 will only be presented at the final point of the project T52 will feed a corresponding section in the biannual Management Reports describing the up to date status of the online communications Deliverable 52 will also collect all materials programme presentations and minutes from the eventspresentations organised by the project and report on necessary updates over the initial Plan

Integrated risk framework

This deliverable will describe the developed risk model and its application in combination with the outcome of the PL It will detail the way its output will be used both in real time for operations and for offline analysis work

Final Project Results Report

Final Project Results Report informing of the research activities of SafeOPS that can be used to transition to subsequent development stages within SESAR and a maturity selfassessment of the TRL achieved at the end of the project will be provided

Guidelines on decision intelligence for automation

Deliverable covering the activities described in task 23

Complete data pipeline description and ML solution

Technical report summarizing the activities for task T41

Publikacje

Time in Advance Go-Around Predictions for Decision Support in Air Traffic Management

Autorzy: Pablo Hernández; Lukas Beller; Clara Argerich; Phillip Koppitz
Opublikowane w: 2022 IEEE/AIAA 41st Digital Avionics Systems Conference (DASC), 2022, ISBN 978-1-6654-8607-1
Wydawca: IEEE
DOI: 10.1109/dasc55683.2022.9925848

Evaluating the Operational Impact of Tactics Enabled by an AI-Based Decision Support

Autorzy: Lukas Beller, Gökay Özer, Marco Pfahler, Phillip Koppitz, Florian Holzapfel
Opublikowane w: SESAR Innovation Days, Numer 2023, 2023
Wydawca: SESAR JU
DOI: 10.61009/sid.2023.1.25

Ergonomics contribution to AI design in safety-critical domains

Autorzy: Stefano Bonelli, Matteo Cocchioni, Carlo Abate, Ana Ferreira, Andrea Capaccioli, François Brambati, Anna Giulia Vicario, Nicola Cavagnetto
Opublikowane w: L'ergonomia gentile per la salute, la sicurezza e la felicita, 2022, Strona(/y) 235-238, ISBN 979-12-210-1456-3
Wydawca: Società Italiana di Ergonomia e Fattori Umani

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