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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.

Coordinator

NOMMON SOLUTIONS AND TECHNOLOGIES SL
Net EU contribution
€ 306 312,50
Address
Plaza Carlos Trias Bertran 4 2 Planta
28020 Madrid
Spain
Activity type
Private for-profit entities (excluding Higher or Secondary Education Establishments)
Non-EU contribution
€ 0,00
Region
Madrid Comunidad de Madrid
 

Participants (4)

ADVANCED LOGISTICS GROUP SAU
Spain
Net 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)
Non-EU contribution
€ 0,00
FRAUNHOFER GESELLSCHAFT ZUR FORDERUNG DER ANGEWANDTEN FORSCHUNG EV
Germany
Net EU contribution
€ 244 000,00
Address
Hansastrasse 27C
80686 Munchen
Activity type
Research Organisations
Non-EU contribution
€ 0,00
UNIVERSIDAD POLITECNICA DE MADRID
Spain
Net EU contribution
€ 148 187,50
Address
Calle Ramiro De Maeztu 7 Edificio Rectorado
28040 Madrid
Activity type
Higher or Secondary Education Establishments
Non-EU contribution
€ 0,00
TRANSPORT & MOBILITY LEUVEN NV
Belgium
Net EU contribution
€ 148 187,50
SME

The organization defined itself as SME (small and medium-sized enterprise) at the time the Grant Agreement was signed.

Yes
Address
Diestsesteenweg 57
3010 Leuven
Activity type
Private for-profit entities (excluding Higher or Secondary Education Establishments)
Non-EU contribution
€ 0,00
Region
Vlaams Gewest Prov. Vlaams-Brabant Arr. Leuven