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Interactive Toolset for Understanding Trade-offs in ATM Performance

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

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)

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ADVANCED LOGISTICS GROUP SAU

Spain

EU Contribution

€ 151 437,50

FRAUNHOFER GESELLSCHAFT ZUR FOERDERUNG DER ANGEWANDTEN FORSCHUNG E.V.

Germany

EU Contribution

€ 244 000

UNIVERSIDAD POLITECNICA DE MADRID

Spain

EU Contribution

€ 148 187,50

TRANSPORT & MOBILITY LEUVEN NV

Belgium

EU Contribution

€ 148 187,50

Project information

Grant agreement ID: 699303

Status

Closed project

  • Start date

    1 March 2016

  • End date

    30 April 2018

Funded under:

H2020-EU.3.4.7.1

  • Overall budget:

    € 998 125

  • EU contribution

    € 998 125

Coordinated by:

NOMMON SOLUTIONS AND TECHNOLOGIES SL

Spain