Data/Knowledge-Driven Behaviour Analysis for Maritime Autonomous Surface Ships

<p>Maritime traffic data (e.g. radar data AIS data and CCTV data) provide designers officers on watch and traffic operators with extensive information about the states of ships at present and in history representing a treasure trove for behavior analysis. Additionally navigation rules and regulations (i.e. knowledge) offer valuable prior knowledge about ship manners at sea. Combining multisource heterogeneous big data and artificial intelligence techniques inspires innovative and important means for the development of MASS. This reprint collects twelve contributions published in Data-/Knowledge-Driven Behavior Analysis of Maritime Autonomous Surface Ships Special Issue during 2021-2022 aiming to provide new views on data-/knowledge-driven analytical tools for maritime autonomous surface ships including data-driven behavior modeling knowledge-driven behavior modeling multisource heterogeneous traffic data fusion risk analysis and management of MASS etc.</p>