Fault Detection in Automatic Identification System Data for Vessel Location Tracking
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초록
This paper presents a method for detecting faults in data obtained from the Automatic Identification System (AIS) of surface vessels. The data include latitude, longitude, Speed Over Ground (SOG), and Course Over Ground (COG). We derive two methods that utilize two models: a constant state model and a derivative augmented model. The constant state model incorporates noise variables to account for state changes, while the derivative augmented model employs explicit variables such as first or second derivatives, to model dynamic changes in state. Generally, the derivative augmented model detects faults more promptly than the constant state model, although it is vulnerable to potentially overlooking faults. The effectiveness of this method is validated using AIS data collected at a harbor. The results demonstrate that the proposed approach can automatically detect faults in AIS data, thus offering partial assistance for enhancing navigation safety.
Abstract
This paper presents a method for detecting faults in data obtained from the Automatic Identification System (AIS) of surface vessels. The data include latitude, longitude, Speed Over Ground (SOG), and Course Over Ground (COG). We derive two methods that utilize two models: a constant state model and a derivative augmented model. The constant state model incorporates noise variables to account for state changes, while the derivative augmented model employs explicit variables such as first or second derivatives, to model dynamic changes in state. Generally, the derivative augmented model detects faults more promptly than the constant state model, although it is vulnerable to potentially overlooking faults. The effectiveness of this method is validated using AIS data collected at a harbor. The results demonstrate that the proposed approach can automatically detect faults in AIS data, thus offering partial assistance for enhancing navigation safety.
참고문헌 (16)
- Bakdi, A., "AIS-based multiple vessel collision and grounding risk identification based on adaptive safety domain", Journal of Marine Science and Engineering, 8, pp.5~ (2020)[DOI]
- Hans-Christoph Burmeister, "Interaction of Harsh Weather Operation and Collision Avoidance in Autonomous Navigation", TransNav, the International Journal on Marine Navigation and Safety of Sea Transportation, 9(1), pp.31~40 (2015), Faculty of Navigation[DOI]
- Paolo Burzigotti, "Advanced receiver design for satellite‐based automatic identification system signal detection", International Journal of Satellite Communications and Networking, 30(2), pp.52~63 (2012), Wiley[DOI]
- Nicola Forti, "Next-Gen Intelligent Situational Awareness Systems for Maritime Surveillance and Autonomous Navigation", Proceedings of the IEEE, 110(10), pp.1532~1537 (2022), Institute of Electrical and Electronics Engineers (IEEE)[DOI]
- Mélanie Fournier, "Past, present, and future of the satellite-based automatic identification system: areas of applications (2004–2016)", WMU Journal of Maritime Affairs, 17(3), pp.311~345 (2018), Springer Science and Business Media LLC[DOI]
- Goudossis, A., "Towards a secure automatic identification system(AIS)", Journal of Marine Science and Technology, 24, pp.410~423 (2019)[DOI]
- 정다빈, "비선형 자세 공간에서 UKF로 구현한 선박 위치 추적", 제어.로봇.시스템학회 논문지, 29(4), pp.347~354 (2023), 제어·로봇·시스템학회[DOI]
- Kazimierski, W., "Radar and automatic identification system track fusion in an electronic chart display and information system", The Journal of Navigation, 68, pp.1141~1154 (2015)[DOI]
- Mazzarella, F., "Knowledge-based vessel position prediction using historical AIS data", 2015 Sensor Data Fusion: Trends, Solutions, Applications (SDF) (2015)
- Papi, F., "Radiolocation and tracking of automatic identification system signals for maritime situational awareness", IET Radar, Sonar & Navigation, 9, pp.568~580 (2015)[DOI]
- Perera, L. P., "Experimental evaluations on ship autonomous navigation and collision avoidance by intelligent guidance", IEEE Journal of Oceanic Engineering, 40, pp.374~387 (2015)[DOI]
- Pietrzykowski, Z., "The autonomous navigation system of a sea-going vessel", Ocean Engineering, 261, pp.112104~ (2022)[DOI]
- MD Robards, "Conservation science and policy applications of the marine vessel Automatic Identification System (AIS)—a review", Bulletin of Marine Science, 92(1), pp.75~103 (2016), Bulletin of Marine Science[DOI]
- Xiaojie Sun, "A Formation Autonomous Navigation System for Unmanned Surface Vehicles With Distributed Control Strategy", IEEE Transactions on Intelligent Transportation Systems, 22(5), pp.2834~2845 (2021), Institute of Electrical and Electronics Engineers (IEEE)[DOI]
- Wang, J., "A new automatic identification system of insect images at the order level", Knowledge-Based Systems, 33, pp.102~110 (2012)[DOI]
- Dong Yang, "How big data enriches maritime research – a critical review of Automatic Identification System (AIS) data applications", Transport Reviews, 39(6), pp.755~773 (2019), Informa UK Limited[DOI]