A Novel Anomaly Detection Method for Aircraft Trajectory in Terminal Airspace
In this paper, a trajectory anomaly detection method for aircraft in terminal airspace surrounding an airport is proposed. This method, as an effective and efficient way for anomaly detection, assists aircraft condition monitoring system (ACMS) for safety analysis. Considering the characteristics of aircraft, a trajectory reconstruction method based on ADS-B data is presented. Then, the mixture density network is utilized to extract the standard trend. Furthermore, accurate inferences about trajectories are made. Finally, the trajectories are classified as either normal or abnormal based on the probability assessment method. Extensive tests on real flight data show that proposed models performs well in anomaly detection and are suitable for expanding flight data.
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Availability:
- Find a library where document is available. Order URL: http://worldcat.org/isbn/9780784483053
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Supplemental Notes:
- © 2020 American Society of Civil Engineers.
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Corporate Authors:
American Society of Civil Engineers
1801 Alexander Bell Drive
Reston, VA United States 20191-4400 -
Authors:
- Chen, Li-Jing
- Zeng, Wei-Li
- Xu, Zheng-Feng
- Yang, Ai-Wen
- Yang, Zhao
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Conference:
- 20th COTA International Conference of Transportation Professionals
- Location: Xi’an , China
- Date: 2020-8-14 to 2020-8-16
- Publication Date: 2020
Language
- English
Media Info
- Media Type: Web
- Pagination: pp 3181-3193
- Monograph Title: CICTP 2020: Transportation Evolution Impacting Future Mobility
Subject/Index Terms
- TRT Terms: Aircraft; Airports; Airspace; Detection and identification systems; Vehicle trajectories
- Identifier Terms: Automatic Dependent Surveillance-Broadcast (ADS-B)
- Subject Areas: Aviation; Operations and Traffic Management; Planning and Forecasting;
Filing Info
- Accession Number: 01766491
- Record Type: Publication
- ISBN: 9780784483053
- Files: TRIS, ASCE
- Created Date: Mar 8 2021 11:42AM