Mining maritime traffic conflict trajectories from a massive AIS data

A probabilistic risk approach for the collision detection of multi-ships under spatiotemporal movement uncertainty

“…AIS data) for vessel collision risk detection and analysis [7]. Various measurable definitions and indices, such as traffic conflict [9], [34], collision candidate [35], [36], near miss [12], [13], and near collision [37] are applied to detect and characterize collision risks. One of the widely used collision risk detection methods is the ship domain-based methods.…”

Vessel Navigation Behavior Analysis and Multiple-Trajectory Prediction Model Based on AIS Data

“…Zhao and Shi focused on behavior analysis based on AIS data and proposed an improved Douglas-Peucker (DP) algorithm for compressing vessel trajectory data [7]. In the final category, scholars mostly focused on trajectory reconstruction-and prediction-based AIS data using regression analysis methods [8][9][10]. Several scholars also focus on state-of-the-art machine learning techniques for trajectory prediction [11].…”

“…Among the above research studies, trajectory prediction is the most key technique of vessel intelligent navigation systems, which can provide navigation guidance and support for vessel operators based on historical AIS data. However, the existing research studies mainly pursued one single trajectory prediction so that the model is lack of generalization ability, and a training process is required for each trajectory individually [5][6][7][8][9][10][11].…”

Unsupervised hierarchical methodology of maritime traffic pattern extraction for knowledge discovery

“…There is a large volume of published studies on trajectory similarity measurement methods (Li et al, 2020;Zhao and Shi, 2019b;Zheng and Zhou, 2011). Trajectory similarity measurement is regarded as a crucial factor in calculating the distance between trajectories, and hence it is one of the critical indicators in trajectory clustering (Tu et al, 2017;Talat et al, 2020;Lei, 2020).…”