专题:Maritime Navigation and Safety

This cluster of papers focuses on the safety and risk analysis in maritime transportation, with a particular emphasis on collision avoidance, unmanned surface vehicles, human factors, and the use of AIS data for risk assessment. It covers topics such as autonomous ships, Bayesian network modeling, vessel traffic patterns, and path planning algorithms for collision avoidance.
最新文献
近5年高被引文献
Autonomous Underwater Vehicle navigation: A review

article Full Text OpenAlex 369 FWCI44.8166

An Optimal BP Neural Network Track Prediction Method Based on a GA–ACO Hybrid Algorithm

article Full Text OpenAlex 322 FWCI14.71

Advances in Line-of-Sight Guidance for Path Following of Autonomous Marine Vehicles: An Overview

article Full Text OpenAlex 318 FWCI29.2922

Satellite mapping reveals extensive industrial activity at sea

article Full Text OpenAlex 263 FWCI108.2535

Data-driven Bayesian network for risk analysis of global maritime accidents

article Full Text OpenAlex 240 FWCI22.3715

Marine environmental monitoring with unmanned vehicle platforms: Present applications and future prospects

article Full Text OpenAlex 239 FWCI21.054

Deep Learning-Powered Vessel Trajectory Prediction for Improving Smart Traffic Services in Maritime Internet of Things

article Full Text OpenAlex 234 FWCI23.9187

AIS data-driven ship trajectory prediction modelling and analysis based on machine learning and deep learning methods

article Full Text OpenAlex 228 FWCI27.6916

A review of path planning algorithms in maritime autonomous surface ships: Navigation safety perspective

article Full Text OpenAlex 208 FWCI20.8244

A survey of maritime unmanned search system: Theory, applications and future directions

article Full Text OpenAlex 206 FWCI25.0196