A novel real-time collision risk awareness method based on velocity obstacle considering uncertainties in ship dynamics

Xiaoli Yuan, Di Zhang, Jinfen Zhang*, Mingyang Zhang, C. Guedes Soares

*Corresponding author for this work

Research output: Contribution to journalArticleScientificpeer-review

Abstract

COLREGs-based collision risk awareness model is urgently needed in real-time operating conditions. However, this is a complicated problem under various encounter situations, some of which are very complex. In order to quantify the collision risk in real operating conditions, a novel risk-informed collision risk awareness approach is proposed for real-time operating conditions. Firstly, the ship's actions are identified based on the Automatic Identification System (AIS) data. Secondly, the uncertainty of ship action patterns is analyzed by regarding the target ships as velocity obstacles. Then, the collision risk model is utilized to assess the collision risk level based on the uncertainty in the non-linear velocity obstacles algorithm considering responsibility. Finally, some case studies are carried out based on the proposed model. In the model, the dynamic and uncertainty features of the ship action dynamics in real operating conditions are considered, which could benefit on reducing ship collision accidents and improving the development of technologies on intelligent collision avoidance decision makings.

Original languageEnglish
Article number108436
Number of pages20
JournalOcean Engineering
Volume220
Early online date13 Dec 2020
DOIs
Publication statusPublished - 15 Jan 2021
MoE publication typeA1 Journal article-refereed

Keywords

  • Automatic Identification System
  • COLREGs
  • Real time risk awareness
  • Ship collision
  • Velocity obstacles

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