Improving stand-on ship's situational awareness by estimating the intention of the give-way ship

Journal Article (2020)
Author(s)

Lei Du (Aalto University)

Floris Goerlandt (Dalhousie University)

Osiris A.Valdez Banda (Aalto University)

Yamin Huang (TU Delft - Safety and Security Science, National Engineering Research Center for Water Transport Safety (WTSC), Wuhan University of Technology)

Yuanqiao Wen (Wuhan University of Technology, TU Delft - Safety and Security Science)

P Kujala (Aalto University)

Safety and Security Science
DOI related publication
https://doi.org/10.1016/j.oceaneng.2020.107110
More Info
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Publication Year
2020
Language
English
Safety and Security Science
Volume number
201

Abstract

The lack of situational awareness is a major cause of ship collisions. Thus, enhancing the situational awareness of the stand-on ship is a key for navigational safety, where the intention estimation of the give-way ship is crucial. According to COLREGs, the stand-on ship is not allowed to take evasive actions until the give-way ship does not take proper actions timely. The stage that needs the stand-on ship to take actions plays as the second protective layer for the ship, which is named as ‘Stand-on Ship as Second Line of Defense’ (SLoD). A method to estimate the intention of the give-way ship and to trigger SLoD is proposed in this article. Four modules of the proposed method include: “data pre-processing” collects all traffic information and determines the ships' obligations; “action identification” pinpoints the turning points; “action uncertainty” generates a bounded reachable velocity considering the give-way ship's maneuverability; “conflict assessment” judges potential collision by using non-linear velocity obstacle algorithm. Several typical encounter scenarios are simulated to demonstrate the feasibility of the proposed method. The results show that intention estimation of the give-way ship improves the situational awareness of the stand-on ship, which can support the stand-on ship to make collision avoidance decisions.

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