A UNIFIED FRACTAL PROCESSING FRAMEWORK FOR NORMALIZED AIS AND ECDIS SHIP TRAJECTORIES
Files
Date
2026
Journal Title
Journal ISSN
Volume Title
Publisher
Abstract
The article presents a unified fractal approach to processing and analyzing ship trajectories
based on AIS and ECDIS data. A comprehensive algorithmic pipeline is proposed, which
provides time normalization, coordinate transformation, calculation of dynamic motion
characteristics, and application of fractal analysis in sliding windows. This approach allows
for the stable calculation of key parameters (course, angular velocity, deviation from the
route) and detection of local changes in movement complexity that are not recorded by
classical methods. The fractal indicators used (Higuchi, Katz, Petrosyan, DFA dimensions)
demonstrate high reproducibility and resistance to typical navigation data shortcomings.
The proposed framework is primarily intended for onboard and post-voyage analysis,
supporting navigational performance assessment, trajectory reconstruction, and detailed
investigation of vessel motion dynamics based on the records from AIS and ECDIS.
Description
Nosov, P., Melnyk, O., Malaksiano, M., Shumylo, O., Onishchenko, O., Yarovenko, V., Zinchenko, S., & Popovych, I. (2026). A Unified Fractal Processing Framework for Normalized AIS and ECDIS Ship Trajectories. Digital, 6(1), 11. https://doi.org/10.3390/digital6010011.
Keywords
: AIS, ECDIS, ship trajectories, fractal analysis, navigational data analysis, cyber security, ship handling, decision support system