The network that is ComplexWorld.eu will organise the research on the applicability of state-of-the-art Complex Systems Science methodologies with the main general objective of advancing in the understanding of the behaviour of the ATM system, as a necessary step prior to improving its overall performance.
Within the SESAR theme ´Mastering System Complexity´ certain objectives have been established to provide direction throughout the duration of the network. The objectives follow a gradual progression, starting with understanding how Complexity Science may contribute to the advancements in the world of ATM and ending with a close look into the design of a more agile system and the implementation of new technologies. These objectives will steer the activities of the network, with the goal of producing tangible and valuable outcomes that may not only set the tone for WP-E Projects, but most importantly help achieve the predefined objectives.
Work Programme Objectives
- Understand how Complexity Science can contribute to understand the ATM system behaviour and evolution that emerges from the complex relationships between its different elements.
- Identify relevant sources of uncertainty in the ATM system, which includes the analysis of its different scales, and understand the propagation of uncertainty through the different scales.
- Research how Complexity Science can improve the overall performance of the system in different Key Performance Areas, in particular, learn how this could bring new methodologies to manage uncertainty and increase predictability.
- Study the propagation of undesirable events through the network, designing strategies to minimize the impact of such perturbations and ensure a customer- friendly degradation of mobility inside Europe.
- Understand how to design a more agile system, through the development of new methodologies to the implementation of new technologies, easing transition phases, optimizing performance during those transitions and enabling innovation.
Considering these objectives, certain research trends have been defined as essential under the ´Mastering System Complexity´ theme. Each theme encompasses a wide variety of disciplines, such as Multi-agent based modelling or Non-linear dynamics, which affirms the need for multi-disciplinary collaboration. As the network continues to advance, some research trends may be further developed and other research trends may be added.
Research Trends
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