Paper
20 December 2024 AIS-based method for extracting the process of ship collision avoidance
Tong Liu, Longhui Gang, Lianfeng Zhang, Liujiang Zheng, Weidong Xie
Author Affiliations +
Proceedings Volume 13421, Eighth International Conference on Traffic Engineering and Transportation System (ICTETS 2024); 134211D (2024) https://doi.org/10.1117/12.3054624
Event: Eighth International Conference on Traffic Engineering and Transportation System (ICTETS 2024), 2024, Dalian, China
Abstract
The analysis of ship avoidance maneuvers is of significant value for assessing the risk of vessel collisions and enhancing ship safety management. A new method has been proposed that utilizes the dynamic spatio-temporal data collected by the Automatic Identification System (AIS) to extract avoidance behaviors. This method integrates navigational rules and maritime practices to determine encounter situations and identify the avoidance process. Validation using actual AIS data has proven the accuracy and effectiveness of the method. It offers an efficient model for extracting encounter and avoidance behaviors from AIS data, providing support for the analysis of ship behavior and research on maritime safety.
(2024) Published by SPIE. Downloading of the abstract is permitted for personal use only.
Tong Liu, Longhui Gang, Lianfeng Zhang, Liujiang Zheng, and Weidong Xie "AIS-based method for extracting the process of ship collision avoidance", Proc. SPIE 13421, Eighth International Conference on Traffic Engineering and Transportation System (ICTETS 2024), 134211D (20 December 2024); https://doi.org/10.1117/12.3054624
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KEYWORDS
Collision avoidance

Artificial intelligence

Data modeling

Safety

Analytical research

Data processing

Risk assessment

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