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http://dx.doi.org/10.5394/KINPR.2022.46.6.576

A Comparative Study of Vessel Trajectory Prediction Error based on AIS and LTE-Maritime Data  

Ji Hong, Min (Graduate School of Data Science, Seoul National University)
Seungju, Lee (Graduate School of Data Science, Seoul National University)
Deuk Jae, Cho (KRISO)
Jong-Hwa, Baek (KRISO)
Hyunwoo, Park (Graduate School of Data Science, Seoul National University)
Publication Information
Journal of Navigation and Port Research / v.46, no.6, 2022 , pp. 576-584 More about this Journal
Abstract
AIS is widely utilized in vessel traffic services for marine traffic safety. In 2021, Korea deployed the high-speed maritime wireless communication system (LTE-Maritime) on the sea following IMO's proposal for the introduction of e-Navigation. In this paper, vessel trajectory data from AIS and LTE-Maritime were used for vessel trajectory prediction to compare and analyze the two systems. The results show that the trajectory prediction error of LTE-Maritime was smaller than that of AIS due to the granular and uniform data provided by LTE-Maritime. Additionally, it was revealed that time interval is the most important factor influencing the errors in trajectory prediction, with the prediction error of LTE-Maritime growing at a slower rate of 17% than AIS. This research contributes to the literature by quantitatively comparing AIS and LTE-Maritime systems for the first time.
Keywords
AIS; e-Navigation; LTE-maritime; vessel trajectory prediction; marine traffic control; marine safety;
Citations & Related Records
Times Cited By KSCI : 2  (Citation Analysis)
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