Multiple Model Method for Aircraft Conflict Detection and Resolution in Intent and Weather Uncertainty

This paper presents a novel multiple model (MM) method for aircraft conflict detection and resolution (CDR) in intent and weather uncertainty for the next generation air transportation system. It is based on probabilistic MM aircraft trajectory prediction. Conflict detection is performed through the...

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Veröffentlicht in:	IEEE transactions on aerospace and electronic systems Jg. 55; H. 2; S. 1004 - 1020
Hauptverfasser:	Jilkov, Vesselin P., Ledet, Jeffrey H., Li, X. Rong
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	New York IEEE 01.04.2019 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Schlagworte:	Aerospace electronics Air traffic control Air transportation Aircraft Aircraft detection Algorithms Atmospheric modeling Collision avoidance Computer simulation Computing time conflict detection and resolution (CDR) Conflict resolution Evasive actions list Viterbi algorithm (LVA) Maneuvers Mathematical models model predictive control (MPC) multiple model (MM) NextGen Personal computers Predictive control Predictive models Probabilistic logic probability of conflict Search algorithms sense-and-avoid Statistical analysis Stochastic processes Trajectory Trajectory optimization trajectory prediction Transportation systems Uncertainty unmanned aerial vehicle (UAV) Unmanned aerial vehicles Viterbi algorithm detectors
ISSN:	0018-9251, 1557-9603
Online-Zugang:	Volltext
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