A SVM Approach of Aircraft Conflict Detection in Free Flight
Joint Authors
Jiang, Xu-rui
Wen, Xiang-xi
Wu, Ming-gong
Wang, Ze-kun
Qiu, Xi
Source
Journal of Advanced Transportation
Issue
Vol. 2018, Issue 2018 (31 Dec. 2018), pp.1-9, 9 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2018-12-06
Country of Publication
Egypt
No. of Pages
9
Main Subjects
Abstract EN
Probabilistic conflict detection methods typically require high computational burden to deal with complex multiaircraft conflict detection.
In this article, aircraft conflict detection is considered as a binary classification problem; therefore, it can be solved by a pattern recognition method.
A potential conflict would be identified, as long as its flight data features are extracted and fed to a classifier which has been trained by a large number of flight datasets.
Based on this, a new method based on support vector machine (SVM) is employed to detect multiaircraft conflict in “Free Flight” airspace and to estimate the conflict probability.
For that purpose, the current positions, velocity vectors, and predicted look-ahead time are selected as detection factors, and the detection model is established by SVM to detect aircraft conflict within look-ahead time during short and medium terms.
Moreover, conflict probabilities are determined by the sigmoid function mapping method.
Nevertheless, false alarm rate is always a first and foremost problem that troubles air traffic controllers.
For the purpose of reducing false alarm rates, Synthetic Minority Over-sampling Technique (SMOTE) method is used to handle imbalanced datasets.
Extensive simulation results are presented to illustrate the rationality and accuracy of this method.
American Psychological Association (APA)
Jiang, Xu-rui& Wen, Xiang-xi& Wu, Ming-gong& Wang, Ze-kun& Qiu, Xi. 2018. A SVM Approach of Aircraft Conflict Detection in Free Flight. Journal of Advanced Transportation،Vol. 2018, no. 2018, pp.1-9.
https://search.emarefa.net/detail/BIM-1181697
Modern Language Association (MLA)
Jiang, Xu-rui…[et al.]. A SVM Approach of Aircraft Conflict Detection in Free Flight. Journal of Advanced Transportation No. 2018 (2018), pp.1-9.
https://search.emarefa.net/detail/BIM-1181697
American Medical Association (AMA)
Jiang, Xu-rui& Wen, Xiang-xi& Wu, Ming-gong& Wang, Ze-kun& Qiu, Xi. A SVM Approach of Aircraft Conflict Detection in Free Flight. Journal of Advanced Transportation. 2018. Vol. 2018, no. 2018, pp.1-9.
https://search.emarefa.net/detail/BIM-1181697
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1181697