Paper
16 May 2024 Collision risk index model based on ship domain and fuzzy set theory
Xinhan Yu
Author Affiliations +
Proceedings Volume 13160, Fourth International Conference on Smart City Engineering and Public Transportation (SCEPT 2024); 131600K (2024) https://doi.org/10.1117/12.3030462
Event: 4th International Conference on Smart City Engineering and Public Transportation (SCEPT 2024), 2024, Beijin, China
Abstract
To address the real-time applicability and reliability of traditional collision risk index calculation models. The quaternion ship domain model, safe encounter distance model and ship dynamic boundary model are introduced to build the safe navigation distance model. Select the distance to closest point of approach (DCPA), the time to reach the distance to closest point of approach (TCPA), ship spacing, the azimuth angle of the incoming ship relative to the ship, and the ship speed ratio between the two ships as collision risk index evaluation indicators. When evaluating the distance between DCPA and the ship, use the navigation safety distance model to divide the danger level into different numerical ranges, in order to achieve the goal of being suitable for the captain of the corresponding ship, and calculate in real-time based on the ship speed of the ship, Finally, the fuzzy set theory is used to establish the ship risk collision model. Simulation experiments were conducted in a situation where a single ship and multiple ships intersect. the results indicate that the established model can accurately calculate the collision risk index and trend of ships, remind drivers to pay more attention to more dangerous ships, and also assist the maritime supervision department in supervising and reminding the sailing ships.
(2024) Published by SPIE. Downloading of the abstract is permitted for personal use only.
Xinhan Yu "Collision risk index model based on ship domain and fuzzy set theory", Proc. SPIE 13160, Fourth International Conference on Smart City Engineering and Public Transportation (SCEPT 2024), 131600K (16 May 2024); https://doi.org/10.1117/12.3030462
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KEYWORDS
Simulation of CCA and DLA aggregates

Fuzzy logic

Safety

Risk assessment

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