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Ponencias en congresos:
Modelling Dependence of Arrival Sequencing and Metering Area Transit Time on Airport Meteorological Conditions

Año:2017

Áreas de investigación

Datos

Descripción
Airports are considered complex system in which the coexistence of different actors competing and collaborating for the same resources under operational time uncertainties can cause a poor performance on the overall ATM (Air Traffic Management) system. In order to facilitate the process of decision making to mitigate the propagation of perturbations through the different airport processes a causal model relying on machine learning, using data mining algorithms has been implemented to predict feasible states. This paper introduces a new approach for modelling causal relationships, which can be used for further analysing of feasible scenarios by means of simulation techniques. The state space analysis of reachable airport states is a relevant approach to validate the causal model using a huge amount of historical data for predictive purposes.
Internacional	Si
Nombre congreso	European Modeling and Simulation Symposium. Multidisciplinary Modeling and Simulation Multiconference (I3M 2017)
Tipo de participación	960
Lugar del congreso
Revisores	Si
ISBN o ISSN	978-88-97999-85-0
DOI
Fecha inicio congreso	18/09/2017
Fecha fin congreso	20/09/2017
Desde la página	288
Hasta la página	295
Título de las actas	Proceedings of the European Modeling and Simulation Symposium, 2017

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