How big data enriches maritime research–a critical review of Automatic Identification System (AIS) data applications

D Yang, L Wu, S Wang, H Jia, KX Li - Transport Reviews, 2019 - Taylor & Francis
The information-rich vessel movement data provided by the Automatic Identification System
(AIS) has gained much popularity over the past decade, during which the employment of …

Exploiting AIS data for intelligent maritime navigation: A comprehensive survey from data to methodology

E Tu, G Zhang, L Rachmawati… - IEEE Transactions …, 2017 - ieeexplore.ieee.org
The automatic identification system (AIS) tracks vessel movement by means of electronic
exchange of navigation data between vessels, with onboard transceiver, terrestrial, and/or …

A survey of the opportunities and challenges of supervised machine learning in maritime risk analysis

A Rawson, M Brito - Transport Reviews, 2023 - Taylor & Francis
Identifying and assessing the likelihood and consequences of maritime accidents has been
a key focus of research within the maritime industry. However, conventional methods utilised …

[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 …

Trajectory clustering via deep representation learning

D Yao, C Zhang, Z Zhu, J Huang… - 2017 international joint …, 2017 - ieeexplore.ieee.org
Trajectory clustering, which aims at discovering groups of similar trajectories, has long been
considered as a corner stone task for revealing movement patterns as well as facilitating …

Spatio-temporal vessel trajectory clustering based on data mapping and density

H Li, J Liu, K Wu, Z Yang, RW Liu, N Xiong - IEEE Access, 2018 - ieeexplore.ieee.org
Automatic identification systems (AISs) serve as a complement to radar systems, and they
have been installed and widely used onboard ships to identify targets and improve …

[HTML][HTML] Automated identification of an operator anticipation on marine transport

PS Nosov, IS Popovych, VV Cherniavskyi… - Radio Electronics …, 2020 - tta.org.ua
Context. The article discusses approaches to anticipation identification being an essential
part of the decision-making process done by the operator by using the example of a sea …

Traffic simulation based ship collision probability modeling

F Goerlandt, P Kujala - Reliability Engineering & System Safety, 2011 - Elsevier
Maritime traffic poses various risks in terms of human, environmental and economic loss. In
a risk analysis of ship collisions, it is important to get a reasonable estimate for the …

Mapping global shipping density from AIS data

L Wu, Y Xu, Q Wang, F Wang, Z Xu - The Journal of Navigation, 2017 - cambridge.org
Mapping global shipping density, including vessel density and traffic density, is important to
reveal the distribution of ships and traffic. The Automatic Identification System (AIS) is an …

A dimensionality reduction-based multi-step clustering method for robust vessel trajectory analysis

H Li, J Liu, RW Liu, N Xiong, K Wu, T Kim - Sensors, 2017 - mdpi.com
The Shipboard Automatic Identification System (AIS) is crucial for navigation safety and
maritime surveillance, data mining and pattern analysis of AIS information have attracted …