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Application of Artificial Intelligence in Maritime Transportation

Maritime transportation assumes a large number of cargo-delivering tasks in world trade. It is noted that maritime traffic safety and efficiency may be affected by varied factors such as weather, ship crew proficiency, etc. The topic Reprint focuses on the use of artificial intelligence techniques t...

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Materialtyp: Online
Språk:engelska
Utgiven: MDPI - Multidisciplinary Digital Publishing Institute 2024
Ämnen:
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
edge detection
shoreline detection
local path planning
dynamic window method
USV
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
encoder–decoder model
multiple feature fusion
convolutional neural network
low-visibility image enhancement
maritime surveillance
visual perception
cooperative USV-UAV system
YOLOX
PIDNet
monocular camera vision
adverse weather
image restoration
improved YOLOv5
intelligent maritime transportation
spatial-temporal density
maritime transportation
network analysis
Delaunay triangulation
online traffic monitoring
ETL pipeline
vessel trajectory prediction
dead reckoning
GIWW
travel time
ETA prediction
XGBoost
n/a
Länkar:ONIX_20240514_9783725806553_404
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Sammanfattning:Maritime transportation assumes a large number of cargo-delivering tasks in world trade. It is noted that maritime traffic safety and efficiency may be affected by varied factors such as weather, ship crew proficiency, etc. The topic Reprint focuses on the use of artificial intelligence techniques to enhance maritime transportation efficiency. More specifically, the Reprint unveils cutting-edge machine learning-supported studies, including autonomous guide vehicle path optimization, ship arrival and departure time estimation from insufficient/biased maritime data, anomaly ship kinematic data cleansing, ship collision avoidance, etc.

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