Assessing Air Traffic Management Performance Interdependencies through Bayesian Networks: Preliminary Applications and Results

The performance model proposed by this study represents an innovative approach to deal with performance assessment in ATM (air traffic management). It is based on Bayesian networks methodology, which presents several advantages but also some drawbacks as highlighted along the paper. We illustrate the main steps required for building the model and present a number of interesting results. The contribution of the paper is two-fold: (1) It presents a new methodological approach to deal with a problem which is of strategic importance for ANSPs (air navigation service providers); (2) It provides insights on the interdependencies between factors influencing performance. Both results are considered particularly important nowadays, due to the SES (Single European Sky) performance scheme and its related target setting process.