Identification of spatiotemporal interdependencies and complexity evolution in a multiple aircraft environment

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dc.contributor.authorRadanovic, Marko
dc.contributor.authorEroles, Miquel Angel Piera
dc.contributor.authorKoca, Thimjo
dc.contributor.authorVerdonk Gallego, Christian Eduardo
dc.contributor.authorSaez Nieto, Francisco Javier
dc.date.accessioned2018-02-13T12:30:33Z
dc.date.available2018-02-13T12:30:33Z
dc.date.issued2017-11-30
dc.description.abstractTo support future automated transitions among the ATM safety nets, this study elaborates identification of the complex traffic scenarios based on the concept of aerial ecosystems. As an extension of the TCAS operational domain and evolving from the separation management towards collision avoidance layer, the concept has been developed as a stepwise algorithm for identification of cooperative aircraft involved in the safety event – detected conflict, and negotiating their resolution trajectories before the ecosystem deadlock event occurs, in which at least one aircraft stays out of a conflict-free resolution. As a response to this threshold, the paper examines generation of both acceptable and candidate resolution trajectories, with respect to the original aircraft trajectories. The candidate trajectories are generated from a set of tactical waypoints and a return waypoint to the original trajectory. Described methodology has been practically implemented to one ecosystem scenario, characterizing its evolution in terms of the intrinsic complexity. By introducing the heading maneuver changes and delay in the resolution process, the results have shown how the scenario complexity is increasing, especially affected by the states of two aircraft in the initial conflict. Furthermore, it has been demonstrated an evolution in the amount of the acceptable and candidate trajectory solutions, for which the minimum complexity value is satisfied. A goal of the study was to explore the lateral resolutions capacity at certain moments and its timely decrement.en_UK
dc.identifier.citationRadanovic M, Eroles MA, Koca T, Verdonk Gallego CE, Nieto FJ, Identification of spatiotemporal interdependencies and complexity evolution in a multiple aircraft environment, Proceedings of 7th SESAR Innovation Days, 2017 (SIDS), 28-30 November 2017, Belgrade, Serbiaen_UK
dc.identifier.urihttps://www.sesarju.eu/sesarinnovationdays
dc.identifier.urihttps://dspace.lib.cranfield.ac.uk/handle/1826/12992
dc.language.isoenen_UK
dc.publisherSESARen_UK
dc.rightsPublished by SESAR. Please refer to any applicable publisher terms of use.*
dc.subjectEcosystem identificationen_UK
dc.subjectComplexityen_UK
dc.subjectCandidate resolution trajectoriesen_UK
dc.subjectSpatiotemporal interdependenciesen_UK
dc.subjectAircraft manoueverabilityen_UK
dc.titleIdentification of spatiotemporal interdependencies and complexity evolution in a multiple aircraft environmenten_UK
dc.typeConference paperen_UK

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