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Interactive Toolset for Understanding Trade-offs in ATM Performance

Deliverables

Performance Data Inventory and Quality Assessment

Report providing an inventory of the different data available to the project, analysing their characteristics (geographical and temporal scope, spatial and temporal resolution, etc.).

Qualitative analysis of performance drivers and trade-offs

Report with the results of the analysis.

Performance Metrics and Predictive Models

Report with the proposed performance metrics and indicators and the trade-offs identified by the predictive models.

Visual Analytics Exploration of Performance Data

Report with the results of the exploration of the performance data and the pattern extraction, gathering the relationships between KPIs and trade-offs found.

Final Project Results Report

Final Project Report, in accordance with the Project Execution Guidelines for SESAR 2020 Exploratory Research. It will include a publishable summary of the entire project, as an input to the Project Closeout Meeting, and when applicable, to the associated Review Meeting or Project Gate. The Final Project Report will summarise the project scope and objectives, the achieved results and main conclusions, the performed communication and dissemination actions, and the exploitation and follow-up activities proposed for the next stage of the R&I lifecycle. It will also include a self-assessment of the TRL achieved at the end of the project.

Performance Monitoring and Management Toolset Evaluation Report

Report of how successfully the Performance Monitoring and Management Toolset has met the objective of providing accurate and insightful information for performance assessment and decision making.

Project Website

Public website including all the communication and dissemination material produced by the project.

Performance Monitoring and Management Toolset

Prototype of the INTUIT Performance Monitoring and Management Toolset and associated documentation, including the software requirements, the functional and technical designs and the user manual.

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Publications

Clustering Trajectories by Relevant Parts for Air Traffic Analysis

Author(s): Gennady Andrienko, Natalia Andrienko, Georg Fuchs, Jose Manuel Cordero Garcia
Published in: IEEE Transactions on Visualization and Computer Graphics, Issue Vol. PP, No. 99, 2017, Page(s) 1-1, ISSN 1077-2626
DOI: 10.1109/TVCG.2017.2744322

Visual Analytics of Mobility and Transportation: State of the Art and Further Research Directions

Author(s): Gennady Andrienko, Natalia Andrienko, Wei Chen, Ross Maciejewski, Ye Zhao
Published in: IEEE Transactions on Intelligent Transportation Systems, Issue 18/8, 2017, Page(s) 2232-2249, ISSN 1524-9050
DOI: 10.1109/TITS.2017.2683539

Combining Visual Analytics and Machine Learning for Route Choice Prediction: Application to Pre-Tactical Traffic Forecast

Author(s): Rodrigo Marcos, Oliva García Cantú Ros, Ricardo Herranz
Published in: Proceedings of the 7th SESAR Innovation Days, Issue November 2017, 2017

Visual Analytics and Machine Learning for Air Traffic Management Performance Modelling: Preliminary Findings of the INTUIT Project and Prospects for Future Research

Author(s): Rodrigo Marcos, David Toribio, Núria Alsina, Laia Garrigó, Natalia Andrienko, Gennady Andrienko, Luca Piovano, Thomas Blondiau and Ricardo Herranz
Published in: Proceedings of the 6th SESAR Innovation Days, Issue November 2016, 2016

INTUIT Project Summary

Author(s): INTUIT Consortium
Published in: 2018

Understanding Trade-offs in ATM Performance: State-of-the-art and Future Challenges

Author(s): INTUIT Consortium
Published in: Issue March 2016, 2016