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Visual Analytics and Machine Learning for Air Traffic Management Performance Modelling
INTUIT is a SESAR 2020 Exploratory Research project which aims to explore the potential of visual analytics and machine learning techniques to improve our understanding of the trade-offs between ATMExpand
Airport slot allocation: performance of the current system and options for reform. Towards a comprehensive performance framework
ACCESS (www.access-sesar.eu) is a research project within SESAR WPE which addresses demand and capacity management at congested airports, focusing on market-based mechanisms for the strategicExpand
A socio-technological approach to improve the performance of the aircraft boarding process
Airports are critical transport infrastructures supporting different tight interdependent operations that must be properly coordinated to avoid delays on the departures. A sustainable air transportExpand