Investigating maritime traffic routes: integrating AIS data and topographic statistics DOI
Jongseo Yim, Wan Hee Kim, Sung‐Jin Cho

et al.

Maritime Policy & Management, Journal Year: 2024, Volume and Issue: unknown, P. 1 - 19

Published: Nov. 26, 2024

This paper presents an innovative integration of topographic statistics with automatic identification system data to identify the distribution conventionally formed maritime routes. methodology utilizes navigation frequency precisely discern locations and linear A key strength lies in explicit crucial points connectivity, including intersections confluences, which contribute construction route networks. advantage becomes evident by providing a nuanced depiction individual centerlines detailed spatial representation based on quantitative evidence vessel conventions. enhances accuracy identifying major routes facilitates their precise location distribution, is particularly adept at supporting establishment management, provides for points, such as confluence areas. In addition conventional applications, this safety, contributes effective marine management policies, identifies suitable new activities, resolves potential conflicts.

Language: Английский

Assessment of bulk payload capacities using automatic identification system (AIS) data DOI

Larissa Camilo Farias,

Pedro Lameira,

Emannuel Loureiro

et al.

Marine Systems & Ocean Technology, Journal Year: 2025, Volume and Issue: 20(1)

Published: Jan. 30, 2025

Language: Английский

Citations

0
Shipping map: An innovative method in grid generation of global maritime network for automatic vessel route planning using AIS data DOI Creative Commons

Lei Liu,

Mingyang Zhang, Cong Liu

et al.

Transportation Research Part C Emerging Technologies, Journal Year: 2025, Volume and Issue: 171, P. 105015 - 105015

Published: Jan. 31, 2025

Language: Английский

Citations

0
Maritime Data Mining for Marine Safety Based on Deep Learning: Southern Vietnam Case Study DOI Creative Commons

Tuan-Anh Pham,

Xuan-Kien Dang, Žarko Koboević

et al.

Naše more, Journal Year: 2024, Volume and Issue: 71(1), P. 21 - 29

Published: May 1, 2024

High-speed passenger vessels, integrated river and sea container oil tankers, other underwater vehicles operating in maritime traffic are among the types of vessels that must be equipped with AIS VHF. The safety navigation is one major problems sector, particularly Vietnam. Furthermore, marine seaport zone a common difficult issue to manage areas high volume vessel traffic, mostly places where infrastructure supporting inadequately developed meet rapidly growing demands contemporary world. Therefore, it necessary create an management system improve efficiency data exploitation support safety. To address this challenge, study suggests Maritime Traffic State Prediction (MTSP) model predict conditions channels real-time collection insufficient some specific locations. We recommend deep learning method using Long Short-Term Memory (LSTM) networks safe path case missing segments. findings have shown proposed approach encourages mining historical for ready applied, can easily implemented computer program or web-based app.

Language: Английский

Citations

3
Study of ship entrance delays to deep draft channels DOI
Md Masharul Kabir,

Golnoosh Toosi,

Xing Wu

et al.

Ocean Engineering, Journal Year: 2024, Volume and Issue: 312, P. 119104 - 119104

Published: Sept. 4, 2024

Language: Английский

Citations

3
Traffic complexity assessment on the malacca strait with traffic zone matrix based on AIS data DOI Creative Commons
Dapei Liu, Zihao Liu, Hooi-Siang Kang

et al.

Ocean Engineering, Journal Year: 2024, Volume and Issue: 314, P. 119687 - 119687

Published: Nov. 4, 2024

Language: Английский

Citations

3
A dynamic topology analysis method for multi-ship encounters based on multi time-space network trees DOI
Zhichen Liu,

Ying Li,

Zhaoyi Zhang

et al.

Ocean Engineering, Journal Year: 2024, Volume and Issue: 307, P. 118052 - 118052

Published: May 20, 2024

Language: Английский

Citations

2
Deep learning innovations in South Korean maritime navigation: Enhancing vessel trajectories prediction with AIS data DOI Creative Commons
Umar Zaman, Junaid Khan, Eunkyu Lee

et al.

PLoS ONE, Journal Year: 2024, Volume and Issue: 19(10), P. e0310385 - e0310385

Published: Oct. 24, 2024

Predicting ship trajectories can effectively forecast navigation trends and enable the orderly management of ships, which holds immense significance for maritime traffic safety. This paper introduces a novel trajectory prediction method utilizing Convolutional Neural Network (CNN), Deep (DNN), Long Short-Term Memory (LSTM), Gated Recurrent Unit (GRU). Our research comprises two main parts: first involves preprocessing large raw AIS dataset to extract features, second focuses on prediction. We emphasize specialized approach tailored data, including advanced filtering techniques remove outliers erroneous data points, incorporation contextual information such as environmental conditions ship-specific characteristics. deep learning models utilize sourced from Automatic Identification System (AIS) train learn regular patterns within enabling them predict next hour. Experimental results reveal that CNN has substantially reduced Mean Absolute Error (MAE) Square (MSE) prediction, showcasing superior performance compared other algorithms. Additionally, comparative analysis with models—Recurrent (RNN), GRU, LSTM, DBS-LSTM—using metrics Average Displacement (ADE), Final (FDE), Non-Linear ADE (NL-ADE), demonstrates our method’s robustness accuracy. not only cleans but also enriches it, providing robust foundation subsequent applications in improvement enhances accuracy promising advancements

Language: Английский

Citations

2
A machine learning method for the recognition of ship behavior using AIS data DOI Creative Commons

Quandang Ma,

S. Lian, Jinfen Zhang

et al.

Ocean Engineering, Journal Year: 2024, Volume and Issue: 315, P. 119791 - 119791

Published: Nov. 23, 2024

Language: Английский

Citations

2
Experimental investigation of wave severity and mooring pretension on the operability of a moored tanker in a port terminal DOI Creative Commons
H.S. Abdelwahab, L. Pinheiro, João Alfredo Santos

et al.

Ocean Engineering, Journal Year: 2023, Volume and Issue: 291, P. 116243 - 116243

Published: Dec. 3, 2023

This paper investigates the influence of sea severity and mooring line pretension configuration on operability a moored vessel at modified berthing site inside port. A physical model was constructed to replicate new layout port Leixões in Portugal, including bathymetry future 300 m extension Leixões' north breakwater. tanker ship tested with novel custom-made system simulators for two fenders four lines under various offshore states configurations. The experiments focus acquiring wave measurements multiple spots within port, motions, loads fenders. data is analysed time frequency domains examine relationship between waves, loads. results are then compared standard operational thresholds estimate downtime cargo loading operations. analysis yields several conclusions. It recommended use zero-peak amplitudes conjunction maximum peak-to-peak ensure accurate analysis. application small-scale modelling useful tool not only investigating feasibility modifications existing sheltering structures but also analysing additional soft countermeasures strengthen conditions berth. provides site-specific experimental that may help develop safety criteria. applied reduce costs.

Language: Английский

Citations

6
Adaptive Fuzzy Quantized Control for a Cooperative USV-UAV System Based on Asynchronous Separate Guidance DOI Creative Commons
Yingshuo Xing, Guoqing Zhang, Jiqiang Li

et al.

Journal of Marine Science and Engineering, Journal Year: 2023, Volume and Issue: 11(12), P. 2331 - 2331

Published: Dec. 9, 2023

This paper focuses predominantly on the multi-tasks carried out by cooperative unmanned surface vehicle-unmanned aerial vehicle (USV-UAV) system in which input quantization is considered. The proposed scheme consists of asynchronous separate guidance and adaptive fuzzy quantized control algorithm. law takes full advantage subsystems whilst considering maneuverability these order to achieve goal executing multi-tasks. In contrast previous laws, although same waypoint path planned, calculation for based speed rather than time, reality more relevant. As controls, an controller was developed reduce undue exertion actuator. By fusing dynamic (DSC) logic (FLS), a hysteresis quantizer has been introduced transmission load. properly adjusting density, number quantizations reduced maintaining favorable performance. All stated variables are semi-global uniform ultimate bounded (SGUUB) stability USV-UAV proofed through Lyapunov theorem. Finally, advantages evaluated two simulative experiments, exhibiting tracking accuracy wear actuators.

Language: Английский

Citations

4