Predictive Clustering of Vessel Behavior Based on Hierarchical Trajectory Representation

arXiv:2403.08838v1 Announce Type: new
Abstract: Vessel trajectory clustering, which aims to find similar trajectory patterns, has been widely leveraged in overwater applications. Most traditional methods use predefined rules and thresholds to identify discrete vessel behaviors. They aim for high-quality clustering and conduct clustering on entire sequences, whether the original trajectory or its sub-trajectories, failing to represent their evolution. To resolve this problem, we propose a Predictive Clustering of Hierarchical Vessel Behavior (PC-HiV). PC-HiV first uses hierarchical representations to transform every …

abstract aim applications arxiv behavior clustering cs.ai cs.lg hierarchical identify patterns predictive quality representation rules trajectory type