{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,2,24]],"date-time":"2026-02-24T19:04:09Z","timestamp":1771959849252,"version":"3.50.1"},"reference-count":54,"publisher":"MDPI AG","issue":"4","license":[{"start":{"date-parts":[[2019,4,8]],"date-time":"2019-04-08T00:00:00Z","timestamp":1554681600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"DOI":"10.13039\/100010661","name":"Horizon 2020","doi-asserted-by":"publisher","award":["Grant 763807"],"award-info":[{"award-number":["Grant 763807"]}],"id":[{"id":"10.13039\/100010661","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Entropy"],"abstract":"<jats:p>Demand &amp; Capacity Management solutions are key SESAR (Single European Sky ATM Research) research projects to adapt future airspace to the expected high air traffic growth in a Trajectory Based Operations (TBO) environment. These solutions rely on processes, methods and metrics regarding the complexity assessment of traffic flows. However, current complexity methodologies and metrics do not properly take into account the impact of trajectories\u2019 uncertainty to the quality of complexity predictions of air traffic demand. This paper proposes the development of several Bayesian network (BN) models to identify the impacts of TBO uncertainties to the quality of the predictions of complexity of air traffic demand for two particular Demand Capacity Balance (DCB) solutions developed by SESAR 2020, i.e., Dynamic Airspace Configuration (DAC) and Flight Centric Air Traffic Control (FCA). In total, seven BN models are elicited covering each concept at different time horizons. The models allow evaluating the influence of the \u201ccomplexity generators\u201d in the \u201ccomplexity metrics\u201d. Moreover, when the required level for the uncertainty of complexity is set, the networks allow identifying by how much uncertainty of the input variables should improve.<\/jats:p>","DOI":"10.3390\/e21040379","type":"journal-article","created":{"date-parts":[[2019,4,8]],"date-time":"2019-04-08T11:54:52Z","timestamp":1554724492000},"page":"379","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":9,"title":["Bayesian Network Modelling of ATC Complexity Metrics for Future SESAR Demand and Capacity Balance Solutions"],"prefix":"10.3390","volume":"21","author":[{"ORCID":"https:\/\/orcid.org\/0000-0003-0961-2188","authenticated-orcid":false,"given":"Victor Fernando","family":"Gomez Comendador","sequence":"first","affiliation":[{"name":"Air Transport and Airports Department, School of Aerospace Engineering, Technical University of Madrid (UPM), 28040 Madrid, Spain"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-6639-6819","authenticated-orcid":false,"given":"Rosa Maria","family":"Arnaldo Vald\u00e9s","sequence":"additional","affiliation":[{"name":"Air Transport and Airports Department, School of Aerospace Engineering, Technical University of Madrid (UPM), 28040 Madrid, Spain"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-5814-4117","authenticated-orcid":false,"given":"Manuel","family":"Villegas Diaz","sequence":"additional","affiliation":[{"name":"Air Transport and Airports Department, School of Aerospace Engineering, Technical University of Madrid (UPM), 28040 Madrid, Spain"}]},{"given":"Eva","family":"Puntero Parla","sequence":"additional","affiliation":[{"name":"ATM Research and Development Reference Centre (CRIDA), 28022 Madrid, Spain"}]},{"given":"Danlin","family":"Zheng","sequence":"additional","affiliation":[{"name":"ATM Research and Development Reference Centre (CRIDA), 28022 Madrid, Spain"}]}],"member":"1968","published-online":{"date-parts":[[2019,4,8]]},"reference":[{"key":"ref_1","unstructured":"SESAR2020 (2011). 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