A SVM Approach of Aircraft Conflict Detection in Free Flight
المؤلفون المشاركون
Jiang, Xu-rui
Wen, Xiang-xi
Wu, Ming-gong
Wang, Ze-kun
Qiu, Xi
المصدر
Journal of Advanced Transportation
العدد
المجلد 2018، العدد 2018 (31 ديسمبر/كانون الأول 2018)، ص ص. 1-9، 9ص.
الناشر
Hindawi Publishing Corporation
تاريخ النشر
2018-12-06
دولة النشر
مصر
عدد الصفحات
9
التخصصات الرئيسية
الملخص 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.
نمط استشهاد جمعية علماء النفس الأمريكية (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
نمط استشهاد الجمعية الأمريكية للغات الحديثة (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
نمط استشهاد الجمعية الطبية الأمريكية (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
نوع البيانات
مقالات
لغة النص
الإنجليزية
الملاحظات
Includes bibliographical references
رقم السجل
BIM-1181697
قاعدة معامل التأثير والاستشهادات المرجعية العربي "ارسيف Arcif"
أضخم قاعدة بيانات عربية للاستشهادات المرجعية للمجلات العلمية المحكمة الصادرة في العالم العربي
تقوم هذه الخدمة بالتحقق من التشابه أو الانتحال في الأبحاث والمقالات العلمية والأطروحات الجامعية والكتب والأبحاث باللغة العربية، وتحديد درجة التشابه أو أصالة الأعمال البحثية وحماية ملكيتها الفكرية. تعرف اكثر