Vessel trajectory prediction in maritime transportation: Current approaches and beyond

X Zhang, X Fu, Z Xiao, H Xu… - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
The growing availability of maritime IoT traffic data and continuous expansion of the
maritime traffic volume, serving as the driving fuel, propel the latest Artificial Intelligence (AI) …

[HTML][HTML] Ship trajectory prediction based on machine learning and deep learning: A systematic review and methods analysis

H Li, H Jiao, Z Yang - Engineering Applications of Artificial Intelligence, 2023 - Elsevier
Ship trajectory prediction based on Automatic Identification System (AIS) data has attracted
increasing interest as it helps prevent collision accidents and eliminate potential …

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

H Li, H Jiao, Z Yang - Transportation Research Part E: Logistics and …, 2023 - Elsevier
Maritime transport faces new safety challenges in an increasingly complex traffic
environment caused by large-scale and high-speed ships, particularly with the introduction …

[HTML][HTML] A new method of inland water ship trajectory prediction based on long short-term memory network optimized by genetic algorithm

L Qian, Y Zheng, L Li, Y Ma, C Zhou, D Zhang - Applied Sciences, 2022 - mdpi.com
Ship position prediction plays a key role in the early warning and safety of inland waters and
maritime navigation. Ship pilots must have in-depth knowledge of the future position of their …

Ship trajectory planning for collision avoidance using hybrid ARIMA-LSTM models

M Abebe, Y Noh, YJ Kang, C Seo, D Kim, J Seo - Ocean Engineering, 2022 - Elsevier
In maritime transportation, accurate estimation of ship trajectories has a great impact on
collision-free trajectory planning. Previously, many approaches were proposed for ship …

[HTML][HTML] Modelling of ship resistance and power consumption for the global fleet: The MariTEAM model

YR Kim, S Steen, D Kramel, H Muri, AH Strømman - Ocean Engineering, 2023 - Elsevier
A system that can reliably estimate power consumption based on operational profiles and
weather conditions is needed to evaluate global shipping emissions and alternative …

[HTML][HTML] An improved ship trajectory prediction based on AIS data using MHA-BiGRU

K Bao, J Bi, M Gao, Y Sun, X Zhang… - Journal of Marine Science …, 2022 - mdpi.com
According to the statistics of water transportation accidents, collision accidents are on the
rise as the shipping industry has expanded by leaps and bounds, and the water …

[HTML][HTML] Marine vessel classification and multivariate trajectories forecasting using metaheuristics-optimized extreme gradient boosting and recurrent neural networks

A Petrovic, R Damaševičius, L Jovanovic, A Toskovic… - Applied Sciences, 2023 - mdpi.com
Maritime vessels provide a wealth of data concerning location, trajectories, and speed.
However, while these data are meticulously monitored and logged to maintain course, they …

[HTML][HTML] Ship classification and anomaly detection based on spaceborne ais data considering behavior characteristics

Z Yan, X Song, H Zhong, L Yang, Y Wang - Sensors, 2022 - mdpi.com
With the establishment of satellite constellations equipped with ship automatic identification
system (AIS) receivers, the amount of AIS data is continuously increasing, and AIS data have …

[HTML][HTML] Deep bi-directional information-empowered ship trajectory prediction for maritime autonomous surface ships

H Li, W Xing, H Jiao, Z Yang, Y Li - Transportation Research Part E …, 2024 - Elsevier
It is critical to have accurate ship trajectory prediction for collision avoidance and intelligent
traffic management of manned ships and emerging Maritime Autonomous Surface Ships …