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SBEVP: Ship Behavior and Encounter Scenario Visualization Platform

  • Yongchang Zhang,
  • Rui Zhang,
  • Wenhu Huang,
  • Xiaolie Wu,
  • Weiqiang Wang

摘要

Maritime transportation is attracting growing interest. A comprehensive visualization analysis across various levels and perspectives can enhance the management efficiency of maritime traffic. However, current maritime visualization platforms often only support basic vessel trajectory mapping or separate analysis of individual behaviors and interactions. These platforms are unable to explore them simultaneously. To address this, we present the Ship Behavior and Encounter Scenario Visualization Platform (SBEVP). SBEVP integrates AIS data and external information, employs hierarchical clustering to analyze individual vessel behaviors, and utilizes representation learning for encounter scenario case libraries. It offers simultaneous visualization of vessel trajectories, individual behaviors, and encounter scenarios, thus creating a unified and efficient tool for maritime supervision.