Automatic identification system in accelerating decarbonization of maritime transportation: The state-of-the-art and opportunities

KH Ten, HS Kang, CL Siow, PS Goh, KQ Lee… - Ocean …, 2023 - Elsevier
This paper presents a review of the state-of-the-art Automatic Identification System (AIS)
data-driven studies and applications in effort to control the carbon footprint from maritime …

Trajectory clustering for SVR-based Time of Arrival estimation

X Xu, C Liu, J Li, Y Miao - Ocean Engineering, 2022 - Elsevier
Abstract Accurate vessel Time of Arrival (ToA) estimation is important for port operation and
resource management. In this paper, we propose a data-driven approach for estimating the …

Vessel manoeuvring hot zone recognition and traffic analysis with AIS data

Z Wei, X Meng, X Li, X Zhang, Y Gao - Ocean Engineering, 2022 - Elsevier
Automatic identification systems (AIS) are on-board compulsory devices on ships that can
provide a large amount of dynamic vessel information, such as position, course and speed …

Study of ship entrance delays to deep draft channels

MM Kabir, G Toosi, X Wu, VA Zaloom - Ocean Engineering, 2024 - Elsevier
Many seaports were built on natural rivers near their estuaries. The natural rivers were then
deeply drafted to accommodate big ships, and a series of docks were built along river banks …

Study on U-turn behavior of vessels in narrow waterways based on AIS data

M Kabir, MJ Kang, X Wu, M Hamidi - Ocean Engineering, 2022 - Elsevier
This paper aims to investigate the U-turn made by ships far away from their destination
docks (called off-destination-dock U-turns) in the narrow waterway using automatic …

Estimation of vessel link-level travel time distribution: A directed network-driven approach

M Liang, J Su, R Gao, RW Liu, Y Zhan - Ocean Engineering, 2024 - Elsevier
Accurate vessel travel time estimation is essential for operational efficiency and route
optimization. Despite the prevalent use of the automatic identification system (AIS) in …

[HTML][HTML] Study of narrow waterways congestion based on automatic identification system (AIS) data: A case study of Houston Ship Channel

MJ Kang, S Zohoori, M Hamidi, X Wu - Journal of Ocean Engineering and …, 2022 - Elsevier
Using automatic identification system (AIS) data, this article first has extended the definition
of three widely used roadway congestion indices to maritime transportation systems (MTS) …

Enhancing container vessel arrival time prediction through past voyage route modeling: A Case Study of Busan New Port

JH Yoon, DH Kim, SW Yun, HJ Kim, S Kim - Journal of Marine Science …, 2023 - mdpi.com
Container terminals are at the center of global logistics, and are highly dependent on the
schedule of vessels arriving. Conventional ETA records from ships, utilized for terminal berth …

Dynamic adaptive decision-making method for autonomous navigation of ships in coastal waters

X Zhao, L Huang, K Zhang, J Mou… - IEEE Transactions on …, 2024 - ieeexplore.ieee.org
The field of ship autonomous navigation has always garnered significant interest due to its
future development potential for intelligent ships and unmanned ships. While there has been …

Gct-TTE: graph convolutional transformer for travel time estimation

V Mashurov, V Chopuryan, V Porvatov, A Ivanov… - Journal of Big Data, 2024 - Springer
This paper introduces a new transformer-based model for the problem of travel time
estimation. The key feature of the proposed GCT-TTE architecture is the utilization of …