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MAIA
Context Air travel is inherently multimodal. Any passenger using air transport services needs to combine them with other modes that facilitate the movement between door-to-door origin and destination points and the origin and destination airports. A multimodal approach to the quality and efficiency of the passenger journey is essential, not only to ensure the competitiveness […]
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USEPE
Context The U-space concept was the response of the Warsaw Declaration in 2016, which sought to harness the potential of drones for creating jobs and new business opportunities. The U-space Blueprint, published by the SESAR Joint Undertaking in 2017, defines U-space as “a set of new services and specific procedures designed to support safe, efficient […]
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NOSTROMO
The project In recent years, the question of how to assess the performance impact of new solutions at a system-wide level in terms of air traffic management (ATM) has arisen. The EU-funded NOSTROMO project aimed to develop new approaches to ATM performance modelling, combining model transparency, computational tractability, and ease of use. First, the project […]
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TravelInt
Context A complete understanding of passenger behaviour, as the final users of the air transport system, is a key aspect for airport planning and management. Airports must be able to adapt to the constantly changing market demand to acquire a better understanding of passenger behaviour and adjust their strategies accordingly. The traditional approach for collecting […]
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SIMBAD
The SIMBAD project The development of performance modelling methodologies able to translate new ATM concepts and technologies into their impact on high-level, system-wide KPIs has been a long-time objective of the ATM research community. Bottom-up, microsimulation models are often the only feasible approach to address this problem in a reliable manner. However, the practical application […]
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AICHAIN
The project AICHAIN a is a research project funded under SESAR 2020 Exploratory Research. The project proposed an innovative Digital Information Management (DIM) concept — the AICHAIN solution — that aimed at enabling the cyber-secured exploitation of large private data sets belonging to different stakeholders and containing valuable information for ATM operations. To overcome the stakeholders’ […]
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BigData4ATM
The project BigData4ATM is a research project within SESAR 2020 Exploratory Research. Its aim was to investigate how new sources of passenger-centric data from smart personal devices can be analysed to extract relevant information about passengers’ behaviour. The goal was to understand how this information can be utilised to inform decision-making processes in air traffic […]
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BEACON
The project BEACON is a research project, funded under SESAR 2020 Exploratory Research, seeking to design new procedures for Airspace Users (AUs) to better allocate their resources (aircraft, pilots, crew, and others) in case of disruptions, and evaluate the proposed procedures through new methods and tools able to take into account AUs’ complex behaviours, such […]
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ACCESS
ACCESS was a project within SESAR JU WPE Long Term and Innovative Research which addressed airport slot allocation from the perspective of complex adaptive systems. The project developed an agent-based model of the air transport network that was used to evaluate different designs of market-based mechanisms for airport slot allocation. Context The European regulation for […]
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INTUIT
Context Performance orientation in Air Traffic Management (ATM) is one of the cornerstones of the Single European Sky (SES) and of its technological pillar, SESAR. A performance-based approach is defined by ICAO as one based on defining policy in terms of qualitative performance objectives, making them measurable by defining appropriate indicators, developing the data and […]