As an important data source, marine accident investigation reports are frequently used for
accident analysis. However, it is hard to extract effective information since key knowledge is …

The maritime industry, responsible for moving approximately 90% of the world's goods,
significantly contributes to environmental pollution, accounting for around 2.5% of global …

Ship fuel consumption is a major component of maritime transport costs and most of its
emissions are harmful to the environment. Hence, it is essential to build an accurate ship …

The complex traffic situations are among the factors influencing maritime safety. They can be
quantitatively estimated through the analysis of traffic data. This paper explores the impact of …

(AI) and Machine Learning (ML) are set to revolutionize all industries, Intelligent
Transportation Systems (ITS) field is no exception. However, being a safety-critical system …

This study develops and evaluates Machine Learning (ML) models for predicting maritime
accidents, uniquely incorporating both environmental and Vessel Traffic Services (VTS) …

In the maritime industry, ships are inherently involved in many high-risk operations. Digital
transformation has great potential to minimize risks by improving safety protocols. This study …

Understanding future marine accident risks is a critical challenge for maritime safety.
Approximately 50% of marine accidents in Japan involve pleasure boats (PBs), small ships …

Abstract The Yangtze River estuary in China is characterized by a complex maritime
geographical environment and presents significant challenges to ship manoeuvring and …

An efficient risk warning model is crucial to the navigation safety of ships. However, existing
researches are often limited by data acquisition, resulting in model training limited to specific …