Design of Ship Trajectory Analysis and Application System Based on AIS

• Published in: 2019 11th International Conference on Measuring Technology and Mechatronics Automation (ICMTMA) pp. 57 - 61
• Main Author: Junfu, Yuan
• Format: Conference Proceeding
• Language: English
• Published: IEEE 01.04.2019
• Subjects: AIS; Automation; Conferences; Manganese; Mechatronics; MMSI; navigation; Q measurement; ship track; subsystem
• DOI: 10.1109/ICMTMA.2019.00019

This paper investigates the trajectory clustering methods at home and abroad, with the application status of AIS data mining. Based on data mining technology and navigation theory, the overall design scheme of ship trajectory analysis system is put forward. The design of the system adopts the principles and ideas of hierarchical and modular design. The prototype system is designed into three layers: data source layer, data processing and mining layer, and user interface layer. The original trajectory data is stored in structured space, feature extraction and trajectory segmentation are used to generate regional feature trajectory set. The clustering analysis of feature trajectory in the region is realized by using OPTICS algorithm and Hansdorff distance measurement method. Finally, the AIS preprocessing module of the prototype system is tested with real AIS data provided by a maritime bureau. The test results show that the module meets the design requirements.