AIS trajectory simplification algorithm considering ship behaviours. (15th November 2020)

• Record Type: Journal Article
• Authors: Wei, Zhaokun; Xie, Xinlian; Zhang, Xiaoju
• Is Part Of: Ocean engineering. Volume 216(2020)
• Publication Date: 2020-11-15
• Subjects: Water traffic -- Automatic identification system (AIS) -- Ship behaviours -- Trajectory compression; Ocean engineering -- Periodicals; Ocean engineering; Periodicals; 620.4162
• DOI: 10.1016/j.oceaneng.2020.108086
• Languages: English
• ISSNs: 0029-8018

Abstract

Abstract: With the establishment of satellite constellations and terrestrial networks of Automatic Identification System (AIS) receivers, an increasing number of ship trajectories have become available, and the data size of trajectories that must be recorded is increasing. As a result, transmitting, processing and storing data have become important issues. At the same time, ship behaviour information is hidden in AIS data. Hence, an effective method is required to not only compress redundant information but also maintain the main characteristic elements included in the trajectory. In this paper, a novel algorithm considering the spatial and motion features of trajectories is designed, which can compress AIS trajectories based on ship behaviour characteristics. The proposed algorithm has two main parts: the Douglas-Peucker (DP) algorithm is employed to simplify trajectories according to spatial features, and a sliding window is adopted to simplify trajectories based on motion features. Furthermore, statistical theory is applied to help determine the thresholds of motion features in sliding window algorithms. The two results are merged to form a trajectory simplification algorithm that considers ship behaviours. To verify the effectiveness of the proposed algorithm, numerical experiments are performed. The results indicate that the proposed algorithm can efficiently simplify trajectories by considering ship behaviour as needed. Highlights: This study proposes a simplification method that considers ship behaviours. Statistical theory is applied to help determine the thresholds of the motion features. Numerical experiments are performed to verify that the proposed algorithm performance outperforms other methods.