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Interactive Toolset for Understanding Trade-offs in ATM Performance

Objective

ATM performance results from the complex interaction of interdependent policies and regulations, stakeholders, technologies and market conditions. Trade-offs arise not only between KPAs, but also between stakeholders, as well as between short-term and long-term objectives. While a lot of effort has traditionally been devoted to the development of microscopic performance models, there is a lack of useful macro approaches able to translate local improvements or specific regulations into their impact on high-level, system-wide KPIs.

The goal of INTUIT is to explore the potential of visual analytics, machine learning and systems modelling techniques to improve our understanding of the trade-offs between ATM KPAs, identify cause-effect relationships between KPIs at different scales, and develop new decision support tools for ATM performance monitoring and management. The specific objectives of the project are:

1. to conduct a systematic characterisation of the ATM performance datasets available at different spatial and temporal scales and evaluate their potential to inform the development of new indicators and modelling approaches;
2. to propose new metrics and indicators providing new angles of analysis of ATM performance;
3. to develop a set of visual analytics and machine learning algorithms for the extraction of relevant and understandable patterns from ATM performance data;
4. to investigate new data-driven modelling techniques and evaluate their potential to provide new insights about cause-effect relationships between performance drivers and performance indicators;
5. to integrate the newly developed analytical and visualisation functionalities into an interactive dashboard supporting multi-dimensional performance assessment and decision making for both monitoring and management purposes.

Field of science

  • /natural sciences/computer and information sciences/artificial intelligence/machine learning

Call for proposal

H2020-SESAR-2015-1
See other projects for this call

Funding Scheme

SESAR-RIA - Research and Innovation action

Coordinator

NOMMON SOLUTIONS AND TECHNOLOGIES SL
Address
Calle Claudio Coello 124 - Planta 4A Trasera
28006 Madrid
Spain
Activity type
Private for-profit entities (excluding Higher or Secondary Education Establishments)
EU contribution
€ 306 312,50

Participants (4)

ADVANCED LOGISTICS GROUP SAU
Spain
EU contribution
€ 151 437,50
Address
Calle Tanger 98 108 P 3 Pta A
08018 Barcelona
Activity type
Private for-profit entities (excluding Higher or Secondary Education Establishments)
FRAUNHOFER GESELLSCHAFT ZUR FOERDERUNG DER ANGEWANDTEN FORSCHUNG E.V.
Germany
EU contribution
€ 244 000
Address
Hansastrasse 27C
80686 Munchen
Activity type
Research Organisations
UNIVERSIDAD POLITECNICA DE MADRID
Spain
EU contribution
€ 148 187,50
Address
Calle Ramiro De Maeztu 7 Edificio Rectorado
28040 Madrid
Activity type
Higher or Secondary Education Establishments
TRANSPORT & MOBILITY LEUVEN NV
Belgium
EU contribution
€ 148 187,50
Address
Diestsesteenweg 57
3010 Kessel Lo
Activity type
Private for-profit entities (excluding Higher or Secondary Education Establishments)