aerospace Article Uncertainty Management at the Airport Transit View Álvaro Rodríguez-Sanz 1,* ID , Fernando Gómez Comendador 1, Rosa Arnaldo Valdés 1, Jose Manuel Cordero García 2 and Margarita Bagamanova 3 1 Department of Aerospace Systems, Air Transport and Airports, Universidad Politécnica de Madrid (UPM), Plaza Cardenal Cisneros N3, 28040 Madrid, Spain;
[email protected] (F.G.C.);
[email protected] (R.A.V.) 2 CRIDA A.I.E. (Reference Center for Research, Development and Innovation in ATM), Avenida de Aragón N402 Edificio Allende, 28022 Madrid, Spain;
[email protected] 3 Department of Telecommunications and Systems Engineering, Universitat Autònoma de Barcelona (UAB), Carrer de Emprius N2, 08202 Sabadell, Spain;
[email protected] * Correspondence:
[email protected]; Tel.: +34-626-574-829 Received: 28 January 2018; Accepted: 21 May 2018; Published: 1 June 2018 Abstract: Air traffic networks, where airports are the nodes that interconnect the entire system, have a time-varying and stochastic nature. An incident in the airport environment may easily propagate through the network and generate system-level effects. This paper analyses the aircraft flow through the Airport Transit View framework, focusing on the airspace/airside integrated operations. In this analysis, we use a dynamic spatial boundary associated with the Extended Terminal Manoeuvring Area concept. Aircraft operations are characterised by different temporal milestones, which arise from the combination of a Business Process Model for the aircraft flow and the Airport Collaborative Decision-Making methodology. Relationships between factors influencing aircraft processes are evaluated to create a probabilistic graphical model, using a Bayesian network approach.