TY - GEN
T1 - Modelling dependence of arrival sequencing and metering area transit time on airport meteorological conditions
AU - Bagamanova, Margarita
AU - González, Juan José Ramos
AU - Eroles, Miquel Àngel Piera
AU - Garcia, Jose Manuel Cordero
AU - Sanz, Alvaro Rodríguez
PY - 2017
Y1 - 2017
N2 - 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.
AB - 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.
KW - Airport management
KW - Bayesian networks
KW - Coloured Petri nets
KW - Decision support tool.
UR - http://www.scopus.com/inward/record.url?scp=85035132110&partnerID=8YFLogxK
M3 - Conference contribution
AN - SCOPUS:85035132110
T3 - 29th European Modeling and Simulation Symposium, EMSS 2017, Held at the International Multidisciplinary Modeling and Simulation Multiconference, I3M 2017
SP - 287
EP - 295
BT - 29th European Modeling and Simulation Symposium, EMSS 2017, Held at the International Multidisciplinary Modeling and Simulation Multiconference, I3M 2017
A2 - Longo, Francesco
A2 - Affenzeller, Michael
A2 - Piera, Miquel Angel
A2 - Bruzzone, Agostino G.
A2 - Jimenez, Emilio
PB - CAL-TEK S.r.l.
T2 - 29th European Modeling and Simulation Symposium, EMSS 2017
Y2 - 18 September 2017 through 20 September 2017
ER -