Application of Artificial Intelligence in Maritime Transportation

© 2022 by the authors; CC BY-NC-ND license

U-shaped automated container terminal; double cantilever rail crane; refined collaborative scheduling; equipment ratio; water transportation; target detection; unmanned ship; deep learning; attention mechanism; rim-driven thruster (RDT); electric power propulsion ship system; permanent magnet synchronous motor (PMSM); position-sensorless control; sliding mode observer (SMO); phase-locked loop (PLL); ship movement characteristics; polar waters; correlation analysis; polar navigation; maritime search and rescue; path planning; unmanned air vehicle; multi-objective optimization; non-dominated sorting genetic algorithm-II; multi-task optimization; crankshaft angle of marine main engines; angular displacement sensor; magnetic focusing; induced voltage analysis; linearity error optimization; eddy current loss; water surface segmentation; attention mechanism; edge detection; shoreline detection; local path planning; dynamic window method; USV; path planning; accident analysis; offshore wind farm; STAMP; CAST; complex network; ship speed extraction; image dehaze; ship detection; ship tracking; spatiotemporal graph neural network; traffic flow prediction; ship big data; AIS; port traffic prediction; autonomous berthing; CMA-ES; LQR; berthing strategy; ship global path planning; A-star algorithm; navigational safety; path optimization; automatic identification system; spoofing ship; missing points; jumping points; trajectory segmentation; isolation forest; ship trajectory prediction; AIS data; neural network; attention mechanism; encoder–decoder model; multiple feature fusion; convolutional neural network; attention mechanism; low-visibility image enhancement; maritime surveillance; visual perception; cooperative USV-UAV system; YOLOX; PIDNet; monocular camera vision; ship detection; adverse weather; image restoration; improved YOLOv5; intelligent maritime transportation; path planning; spatial-temporal density; maritime transportation; network analysis; Delaunay triangulation; online traffic monitoring; ETL pipeline; AIS data; vessel trajectory prediction; dead reckoning; GIWW; travel time; ETA prediction; AIS data; XGBoost; n/a