{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,1,17]],"date-time":"2026-01-17T22:42:55Z","timestamp":1768689775014,"version":"3.49.0"},"reference-count":25,"publisher":"American Institute of Aeronautics and Astronautics (AIAA)","issue":"12","funder":[{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["No.\u00a062076126"],"award-info":[{"award-number":["No.\u00a062076126"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100012226","name":"Fundamental Research Funds for the Central Universities","doi-asserted-by":"crossref","award":["No.\u00a0NS2018044"],"award-info":[{"award-number":["No.\u00a0NS2018044"]}],"id":[{"id":"10.13039\/501100012226","id-type":"DOI","asserted-by":"crossref"}]}],"content-domain":{"domain":["arc.aiaa.org"],"crossmark-restriction":true},"short-container-title":["Journal of Aerospace Information Systems"],"published-print":{"date-parts":[[2022,12]]},"abstract":"<jats:p> With the rapid growth of air traffic, it often happens that aircraft deviate from the original flight plan during actual flight. This paper proposes an anomaly detection method for aircraft trajectory deviation to realize single-point and successive multipoint anomaly detection from a data-driven perspective. Given the one-to-many relationship between reporting points of planned and real trajectories, a matching algorithm is used to match these points. Four trajectory deviation features (which are the position deviation, distance deviation, altitude deviation, and flight stage) are defined. On this basis, a one-class support vector machine is trained to detect single-point anomalies using the deviation features as input. Furthermore, successive multipoint anomaly detection of the aircraft is realized by considering the deviation of successive segments of the trajectory. Taking the flights taking off and landing at four Chinese hub airports as examples, the proposed method obtained an F score, which is a balance of the precision and recall, over 0.92, indicating it achieves high accuracy for anomaly detection. <\/jats:p>","DOI":"10.2514\/1.i011124","type":"journal-article","created":{"date-parts":[[2022,10,31]],"date-time":"2022-10-31T10:55:01Z","timestamp":1667213701000},"page":"799-810","update-policy":"https:\/\/doi.org\/10.2514\/aiaa_crossmarkpolicy","source":"Crossref","is-referenced-by-count":4,"title":["Data-Driven Method for Detecting Flight Trajectory Deviation Anomaly"],"prefix":"10.2514","volume":"19","author":[{"given":"Ziyi","family":"Guo","sequence":"first","affiliation":[{"name":"Nanjing University of Aeronautics and Astronautics, 211106 Nanjing, People\u2019s Republic of China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Chang","family":"Yin","sequence":"additional","affiliation":[{"name":"Nanjing University of Aeronautics and Astronautics, 211106 Nanjing, People\u2019s Republic of China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Weili","family":"Zeng","sequence":"additional","affiliation":[{"name":"Nanjing University of Aeronautics and Astronautics, 211106 Nanjing, People\u2019s Republic of China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Xianghua","family":"Tan","sequence":"additional","affiliation":[{"name":"Nanjing University of Aeronautics and Astronautics, 211106 Nanjing, People\u2019s Republic of China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Jie","family":"Bao","sequence":"additional","affiliation":[{"name":"Nanjing University of Aeronautics and Astronautics, 211106 Nanjing, People\u2019s Republic of China"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"1387","reference":[{"key":"r1","doi-asserted-by":"publisher","DOI":"10.3390\/aerospace6110117"},{"key":"r2","doi-asserted-by":"publisher","DOI":"10.2514\/6.2017-3779"},{"key":"r3","doi-asserted-by":"publisher","DOI":"10.3182\/20130902-3-CN-3020.00044"},{"key":"r4","doi-asserted-by":"publisher","DOI":"10.1016\/j.sigpro.2013.12.026"},{"key":"r5","doi-asserted-by":"publisher","DOI":"10.1016\/j.cja.2018.10.001"},{"key":"r7","doi-asserted-by":"publisher","DOI":"10.2514\/1.I010329"},{"key":"r8","doi-asserted-by":"publisher","DOI":"10.2514\/1.53859"},{"key":"r12","doi-asserted-by":"publisher","DOI":"10.1109\/TITS.2011.2160628"},{"key":"r13","doi-asserted-by":"publisher","DOI":"10.2514\/6.2016-3760"},{"key":"r14","doi-asserted-by":"publisher","DOI":"10.2514\/6.2016-3761"},{"key":"r15","doi-asserted-by":"publisher","DOI":"10.1016\/j.trc.2018.10.021"},{"key":"r16","doi-asserted-by":"publisher","DOI":"10.1109\/TCSVT.2008.2005599"},{"key":"r18","doi-asserted-by":"publisher","DOI":"10.2514\/1.I010582"},{"key":"r19","doi-asserted-by":"publisher","DOI":"10.1016\/j.dss.2016.05.004"},{"key":"r22","doi-asserted-by":"publisher","DOI":"10.2514\/6.2016-1411"},{"key":"r23","first-page":"802","volume-title":"Advances in Neural Information Processing Systems, Annual Conference on Neural Information Processing Systems 2015","volume":"28","author":"Shi X.","year":"2015"},{"key":"r25","doi-asserted-by":"publisher","DOI":"10.1109\/TITS.2020.3004807"},{"key":"r30","doi-asserted-by":"publisher","DOI":"10.1016\/j.patcog.2010.09.022"},{"issue":"2","key":"r31","first-page":"7","volume":"1","author":"Kumar R.","year":"2012","journal-title":"International Journal of Innovations in Engineering Technology"},{"issue":"8","key":"r32","first-page":"369","volume":"4","author":"Neelamegam S.","year":"2013","journal-title":"International Journal of P2P Network Trends"},{"key":"r33","doi-asserted-by":"publisher","DOI":"10.1016\/j.eij.2012.08.002"},{"key":"r35","doi-asserted-by":"publisher","DOI":"10.1016\/j.wasman.2017.03.044"},{"key":"r36","doi-asserted-by":"publisher","DOI":"10.1162\/089976600300015565"},{"key":"r37","unstructured":"ZhangB. \u201cTemporal Data Mining Based on SVM and Its Application in Securities Analysis,\u201d M.A. Thesis, Zhejiang Univ. of Technology, Zhejiang, China, 2007 (in Chinese)."},{"key":"r38","unstructured":"LinC. 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Rept., Taipei, 2003."}],"container-title":["Journal of Aerospace Information Systems"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/arc.aiaa.org\/doi\/pdf\/10.2514\/1.I011124","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,12,7]],"date-time":"2022-12-07T05:30:21Z","timestamp":1670391021000},"score":1,"resource":{"primary":{"URL":"https:\/\/arc.aiaa.org\/doi\/10.2514\/1.I011124"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2022,12]]},"references-count":25,"journal-issue":{"issue":"12","published-print":{"date-parts":[[2022,12]]}},"alternative-id":["10.2514\/1.I011124"],"URL":"https:\/\/doi.org\/10.2514\/1.i011124","relation":{},"ISSN":["1940-3151","2327-3097"],"issn-type":[{"value":"1940-3151","type":"print"},{"value":"2327-3097","type":"electronic"}],"subject":[],"published":{"date-parts":[[2022,12]]},"assertion":[{"value":"2022-03-08","order":0,"name":"received","label":"Received","group":{"name":"publication_history","label":"Publication History"}},{"value":"2022-06-09","order":1,"name":"revised","label":"Revised","group":{"name":"publication_history","label":"Publication History"}},{"value":"2022-07-08","order":2,"name":"accepted","label":"Accepted","group":{"name":"publication_history","label":"Publication History"}},{"value":"2022-10-31","order":3,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}]}}