Results 51 to 60 of about 999,578 (171)

System parameter exploration of ship maneuvering model for automatic docking/berthing using CMA-ES

Journal of Marine Science and Technology, 2022
Accurate maneuvering estimation is essential to establish autonomous berthing control. The system-based mathematical model is widely used to estimate the ship's maneuver. Commonly, the system parameters of the mathematical model are obtained by the captive model test (CMT), which is time-consuming to construct an accurate model suitable for complex ...
Yoshiki Miyauchi, Atsuo Maki, Naoya Umeda, Dimas M. Rachman, Youhei Akimoto   +4 more
openaire   +3 more sources

An AIS Data‐Driven Multi‐Area Continuous Berth Allocation Method Using Pair Barracuda Swarm Optimisation for Green and Intelligent Ports

IET Intelligent Transport Systems, Volume 20, Issue 1, January/December 2026.
This paper proposes an automatic identification system (AIS) data‐driven method for multi‐area continuous berth allocation, utilizing a novel pair barracuda swarm optimisation algorithm to minimize operational costs. The method dynamically incorporates real‐time ship data to address uncertainties and is validated through comprehensive simulations and a
Shi Binghua, Wang Chen, Dong Ying, Li Kexian, Zheng Ling, Sang Jinyan   +5 more
wiley   +1 more source

Ship Manoeuvring Performance Experiments Using a Free Running Model Ship [PDF]

TransNav, 2010
In this paper, a 3m-class free running model ship will be introduced with its manoeuvring performance experiments. The results of turning circle test and zig-zag test will be explained.
Namkyun Im, Jeong-Ho Seo
doaj  

A Fuzzy Logic‐Based Dynamic Decision‐Making Model for Ship Berthing Considering Kinematic Characteristics

IET Intelligent Transport Systems, Volume 20, Issue 1, January/December 2026.
(1) A dynamic decision‐making model for ship berthing is proposed to provide real‐time assistance to shipmasters and pilots. (2) The proposed model considers the kinematic parameters related to ship berthing. (3) The proposed model employs a structured three‐layer fuzzy inference system to derive berthing decision‐making results. ABSTRACT Ship berthing
Diao Han, Yang Wang, Haitong Xu, Bing Wu
wiley   +1 more source

Genetic programming for the automatic design of controllers for a surface ship [PDF]

, 2008
In this paper, the implementation of genetic programming (GP) to design a contoller structure is assessed. GP is used to evolve control strategies that, given the current and desired state of the propulsion and heading dynamics of a supply ship as ...
McGookin, E.W., Murray-Smith, D.J., Alfaro-Cid, E.   +2 more
core   +1 more source

Physically Feasible Shipping Routes: A Density‐Weighted Graph Search Approach

IET Intelligent Transport Systems, Volume 20, Issue 1, January/December 2026.
ABSTRACT Extracting topologically correct and kinematically feasible shipping routes from AIS data remains an open problem because existing methods formulate treating route extraction as a purely geometric fitting task and overlook the heavy‐tailed, density‐heterogeneous nature of maritime traffic.
Jiale Tao, Di Zhang, Liang Huang, Shaohan Wang, Chengpeng Wan   +4 more
wiley   +1 more source

Berthing Trajectory Tracking of Underactuated Surface Vehicle Based on NMPC and Position Estimation

IEEE Access
In order to realize waypoint-based automatic berthing alongside or astern, a generation algorithm of dynamic virtual ships is proposed to guide the underactuated surface vehicle (USV). In this paper, a nonlinear model predictive control (NMPC) problem is
Zuxin Wu, Baigang Zhao, Xu Han, Di Lu
doaj   +1 more source

A Study of the Automatic Berthing System of a Ship Using Artificial Neural Network

Journal of Korean navigation and port research, 2008
In this paper, Artificial Neural Network(ANN) is applied to automatic berthing control for a ship. ANN is suitable for a maneuvering such as ship`s berthing, because it can describe non-linearity of the system. Multi-layer perceptron which has more than one hidden layer between input layer and output layer is applied to ANN.
Cheol-Han Bae, Seung-Keon Lee, Sang-Eui Lee, Ju-Han Kim   +3 more
openaire   +2 more sources

Autonomous Berthing and Unberthing of Unmanned Surface Vessels via Harmonised Bézier Path Planning and Proximal Policy Optimisation

IET Intelligent Transport Systems, Volume 20, Issue 1, January/December 2026.
Berthing and unberthing are among the most demanding ship manoeuvring tasks because they are performed at low speed in restricted waters and are highly susceptible to environmental disturbances. Existing methods generally rely on relatively accurate mathematical models and may exhibit degraded performance when model uncertainty and external ...
Biliang Lu, Ziyan Zhou, Feng Ma, Chen Chen, Jie Sun   +4 more
wiley   +1 more source

Research on The Prediction of Congestion Risk of Ship Traffic Flow in Vulnerable Waterways

IET Intelligent Transport Systems, Volume 20, Issue 1, January/December 2026.
Vulnerable inland waterways frequently suffer from vessel traffic congestion. This study proposes an FCM clustering combined with stacking ensemble learning model to identify and predict navigation risk levels based on AIS trajectory data. The experimental results prove that the proposed method outperforms traditional single machine learning models and
Yongjun Chen, Tianyu Liu, Wenshuo Shi, Juan Zhang, Xiang Lian, Weiyi Wang   +5 more
wiley   +1 more source