The Impact of the Human Factor on Communication During a Collision Situation in Maritime Navigation
Year: 2025
Type: article
Abstract: In the article, the authors draw attention to the significant impact of the human factor during collision situations in maritime navigation. The problems in the communication process between ship drivers are so excessive that the authors propose automatic communication. It would be an alternative method to the current one. The presented system comprehensively performs communication tasks during a sea voyage. To reach mentioned goal AI methods of natural language processing and additional properties of metaontology (ontology supplemented with objective functions) are applied. Dedicated to maritime transport application, the model for translating a natural language into an ontology consists of multiple steps and uses AI methods of classification for the recognition of a message from the ship’s bridge. The reverse model is also multi-stage and uses the created rule-based knowledge base to create natural language sentences built on the basis of the ontology. Validation of the model's accuracy results was conducted through accuracy assessment coefficients for information classification, commonly used in science. Receiver operating characteristic (ROC) curves represent the results in the datasets. Our study confirmed the correctness of the assumptions, the designed system architecture and the algorithms developed in the prototype.
Source: Applied Sciences
DOI: 10.3390/app15052797
Authors: Leszek Misztal, Paulina Hatlas-Sowinska
Institution: Maritime University of Szczecin
Language: English
Subfield: Ocean Engineering
Field: Engineering
Domain: Physical Sciences
Open Access status: gold
Estimated APC paid: $2,896
OpenAlex ID: W4408218823