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Journal articles on the topic 'Ship Collision'

Author: Grafiati

Published: 24 January 2024

Last updated: 25 July 2025

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1

Liu, Xin, Shuwei Ren, Lei Zhang, Wei Shen, and Yubo Tu. "Research on Dynamic Path Planning and Tracking Control for Ship Collision Avoidance." Journal of Physics: Conference Series 2607, no. 1 (2023): 012012. http://dx.doi.org/10.1088/1742-6596/2607/1/012012.

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Abstract Ship collisions are prevalent every year, leading to significant maritime traffic accidents. This paper presents research on dynamic path planning and tracking control for ship collision avoidance by integrating ship automatic avoidance technology to address this issue. We conducted a comprehensive study on artificial potential fields, trajectory tracking, and route trajectory tracking in response to the current state of ship collision avoidance and trajectory tracking. The study employed vector decomposition and slider control as research methods to analyze, optimize, and modify ship

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2

Hermawan, Yuda Apri, Fernanda Wahyu Pratama, Setyo Nugroho, Sjarief Widjaja, Totok Yulianto, and Dedi Budi Purwanto. "Identification of Ship Domain Shape to Degree of Ship Collision Risk on Head-on Encounter Situation." IOP Conference Series: Earth and Environmental Science 1423, no. 1 (2024): 012007. https://doi.org/10.1088/1755-1315/1423/1/012007.

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Abstract Ship collisions are one of the marine accidents that can occur at any time, causing significant material and cargo losses. Lack of awareness of collision impacts and human factors are primary issues for ship collisions. Consequently, ship captains and technology have devised an imaginary area known as the ship domain. This ship domain is an imagined region used to define safe conditions around the ship. With the presence of a ship domain, collision risk can be reduced. This paper investigates the influence of ship domains on collision risk assessment during head-on encounters. To simu

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3

Zheng, Mao, Kehao Zhang, Bing Han, et al. "An Improved VO Method for Collision Avoidance of Ships in Open Sea." Journal of Marine Science and Engineering 12, no. 3 (2024): 402. http://dx.doi.org/10.3390/jmse12030402.

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In order to effectively deal with collisions in various encounter situations in open water environments, a ship collision avoidance model was established, and multiple constraints were introduced into the velocity obstacle method, a method to determine the ship domain by calculating the safe distance of approach was proposed. At the same time, the ship collision avoidance model based on the ship domain is analyzed, and the relative velocity set of the collision cone is obtained by solving the common tangent line within the ellipse. The timing of starting collision avoidance is determined by ca

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4

Yuan, X. L., D. Zhang, J. F. Zhang, M. F. Zhang, and C. Guedes Soares. "A novel collision risk awareness framework for ships in real-time operating conditions." Developments in the Collision and Grounding of Ships Offshore Structures 2020 (May 27, 2020): 337–43. https://doi.org/10.5281/zenodo.3859446.

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Ship collisions sometimes occur at sea and a significant cause of ship collision accident is the lack of collision risk awareness. In order to quantify the collision risk of the ship in real operating conditions, a novel collision risk awareness framework is proposed for ships in real-time operating conditions. It mainly consists of four models/stages. Firstly, the ship motions are identified using turning points based on (Automatic Identification System) AIS data in real operating conditions. Secondly, the uncertainty of ship motion patterns is analysed that the target ship is regarded as vel

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Li, Jinxin, Hongbo Wang, Wei Zhao, and Yuanyuan Xue. "Ship’s Trajectory Planning Based on Improved Multiobjective Algorithm for Collision Avoidance." Journal of Advanced Transportation 2019 (April 9, 2019): 1–12. http://dx.doi.org/10.1155/2019/4068783.

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With vigorous development of the maritime trade, many intelligent algorithms have been proposed to avoid collisions due to resulting casualties and increased costs. According to the international regulations for preventing collisions at sea (COLREGs) and the self-evolution ability of the intelligent algorithm, the collision avoidance trajectory can be more consistent with the requirements of reality and maritime personnel. In this paper, the optimization of ship collision avoidance strategies is realized by both an improved multiobjective optimization algorithm NSGA-II and the ship domain unde

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6

Zhao, Y. J., T. T. Guo, Y. C. Li, and L. P. Zhang. "Experimental study on collision of a rigid wedge-shaped striking bow with ship section model." Journal of Physics: Conference Series 2891, no. 7 (2024): 072028. https://doi.org/10.1088/1742-6596/2891/7/072028.

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Abstract In fluid-structure coupling collision tests of ship models, it is possible to obtain information about structural damage and accurately simulate the energy distribution during the collision process. Consequently, such tests are most effective in reflecting the true physical process of ship collisions. In this paper, a fluid-structure coupling collision test of a ship model was designed, where the bow of the striking ship was represented by a rigid wedge-shaped striking bow, and a scaled local section model of the struck ship was selected. The striking bow was applied to the side of th

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7

Zhang, Jiping, and Yonghe Xie. "Collision Numerical Simulation Research of River-Sea Ship." Open Mechanical Engineering Journal 8, no. 1 (2014): 885–91. http://dx.doi.org/10.2174/1874155x01408010885.

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Collision simulation of river-sea ship is accomplished based on nonlinear finite element method. Firstly, we discuss the development of collision analysis methods including theoretical methods, empirical formula method, experimental techniques and numerical analysis methods, and introduce the Central Difference Method adopted in the collision simulation. Then, model of ship structure and rigid sphere structure are established, through taking into account the suitability for collision simulation of ship structure, we adopt Cowper-Symonds constitutive equation as the material characteristics and

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8

Čorić, Mirko, Sadko Mandžuka, Anita Gudelj, and Zvonimir Lušić. "Quantitative Ship Collision Frequency Estimation Models: A Review." Journal of Marine Science and Engineering 9, no. 5 (2021): 533. http://dx.doi.org/10.3390/jmse9050533.

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Ship collisions are one of the most common types of maritime accidents. Assessing the frequency and probability of ship collisions is of great importance as it provides a cost-effective and practical way to mitigate risk. In this paper, we present a review of quantitative ship collision frequency estimation models for waterway risk assessment, accompanied by a classification of the models and a description of their main modelling characteristics. Models addressing the macroscopic perspective in the estimation of ship collision frequency on waterways are reviewed in this paper with a total of 2

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9

Zhou, Haiming, Mao Zheng, Xiumin Chu, et al. "Virtual Reality Fusion Testing-Based Autonomous Collision Avoidance of Ships in Open Water: Methods and Practices." Journal of Marine Science and Engineering 12, no. 12 (2024): 2181. http://dx.doi.org/10.3390/jmse12122181.

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With the rapid development of autonomous collision avoidance algorithms on ships, the technical demand for the testing and verification of autonomous collision avoidance algorithms is increasing; however, the current testing of autonomous collision avoidance algorithms is mainly based on the virtual simulation of the computer. To realize the testing and verification of the autonomous collision avoidance algorithm in the real ship scene, a method of virtual reality fusion testing in open water is proposed and real ship testing is carried out. Firstly, an autonomous ship collision avoidance test

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10

Chen, Yihan, Qing Yu, Weiqiang Wang, and Xiaolie Wu. "Dynamic Calculation Approach of the Collision Risk in Complex Navigable Water." Journal of Marine Science and Engineering 12, no. 9 (2024): 1605. http://dx.doi.org/10.3390/jmse12091605.

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It is vital to analyze ship collision risk for preventing collisions and improving safety at sea. This paper takes Ningbo-Zhoushan Port, a typical complex navigable water, as the research object. Firstly, a probabilistic conflict detection method based on an AIS data-driven dynamic ship domain model is proposed to achieve effective ship conflict detection under uncertain environments. Then, a ship group identification method is proposed, which can extract the ship groups with conflict correlation and space compactness. Finally, according to the characteristics of ship traffic in complex naviga

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11

Li, Yun, and Haiyu Zhang. "Collision Avoidance Decision Method for Unmanned Surface Vehicle Based on an Improved Velocity Obstacle Algorithm." Journal of Marine Science and Engineering 10, no. 8 (2022): 1047. http://dx.doi.org/10.3390/jmse10081047.

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To ensure navigation safety, unmanned surface vehicles (USVs) need to have autonomous collision avoidance capability. A large number of studies on ship collision avoidance are available, and most of these papers assume that the target ships keep straight or follows the International Regulations for Preventing Collisions at Sea (COLREGS). However, in the actual navigation process, the target ship may temporarily turn. Based on the above reasons, this paper proposes a multi-ship collision avoidance decision method for USVs based on the improved velocity obstacle algorithm. In the basic dynamic s

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12

Li, Weifeng, Lufeng Zhong, Yaochen Liu, and Guoyou Shi. "Ship Intrusion Collision Risk Model Based on a Dynamic Elliptical Domain." Journal of Marine Science and Engineering 11, no. 6 (2023): 1122. http://dx.doi.org/10.3390/jmse11061122.

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To improve navigation safety in maritime environments, a key step is to reduce the influence of human factors on the risk assessment of ship collisions by automating the decision-making process as much as possible. This paper optimizes a dynamic elliptical ship domain based on Automatic Identification System (AIS) data, combines the relative motion between ships in different encounter situations and the level of ship intrusion in the domain, and proposes a ship intrusion collision risk (SICR) model. The simulation results show that the optimized ship domain meets the visualization requirements

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13

Yu, Jianguo, Zhihua Wu, Wei Liu, and Wenji Zhao. "Identifying the Causes of Ship Collisions Accident Using Text Mining and Bayesian Networks." Elektronika ir Elektrotechnika 29, no. 6 (2023): 58–67. http://dx.doi.org/10.5755/j02.eie.35630.

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Under the backdrop of the robust growth of the global economy, the water transport industry is experiencing rapid development, resulting in an increase in ship collisions and a critical water traffic safety situation. This study uses text mining techniques to gather a corpus of data. The corpus includes human factors, ship factors, natural environmental factors, and management factors, which are used as target data to obtain a high-dimensional sparse original feature vector space set comprising eigenvalues and eigenvalue weight attributes. Chi-square statistics are utilised to reduce dimension

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14

Purwitasari, Diyah, Ketut Buda Artana, Dhimas Widhi Handani, and K. E. Zulfan Ardiansyah. "Determining The Causation Probability of Ship Collision in the Barito River Using Fault Tree analysis (FTA) & Bayesian Network Modelling." IOP Conference Series: Earth and Environmental Science 1423, no. 1 (2024): 012012. https://doi.org/10.1088/1755-1315/1423/1/012012.

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Abstract In Indonesia, five of the twenty-five vital ports are situated along rivers, with the Port of Banjarmasin having the highest visit value. Over the previous five years from 2017 to 2021, 20 collision-type accidents have occurred on the Barito River shipping channel. With the large number of ship collision accidents and fatalities occurring on the Barito River, it is necessary to make initial efforts to determine the probability of the main causal factors in order to carry out a risk assessment. This paper aims to determine the causation probability of ship collisions on the Barito Rive

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15

Cheng, Zhiyou, Yaling Li, and Bing Wu. "Early Warning Method and Model of Inland Ship Collision Risk Based on Coordinated Collision-Avoidance Actions." Journal of Advanced Transportation 2020 (July 20, 2020): 1–14. http://dx.doi.org/10.1155/2020/5271794.

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To reduce the occurrence of ship collisions, immediate danger, and close-quarters situations in narrow inland waterways, a step-by-step early warning system for ship collision-avoidance actions was developed, along with an early warning method and model of collision risk based on coordinated collision-avoidance actions. This study first analyzed the importance of coordinated collision-avoidance actions in inland waterways, and the process and key components of coordinated collision-avoidance actions were studied. Then, the early warning method of inland ship collision risk based on coordinated

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16

Namgung, Ho, and Joo-Sung Kim. "Regional Collision Risk Prediction System at a Collision Area Considering Spatial Pattern." Journal of Marine Science and Engineering 9, no. 12 (2021): 1365. http://dx.doi.org/10.3390/jmse9121365.

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To reduce the risk of collision in territorial sea areas, including trade ports and entry waterways, and to enhance the safety and efficiency of ship passage, the International Maritime Organization requires the governing body of every country to establish and operate a vessel traffic service (VTS). However, previous studies on risk prediction models did not consider the locations of near collisions and actual collisions and only employed a combined collision risk index in surveillance sea areas. In this study, we propose a regional collision risk prediction system for a collision area conside

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17

Wei, Guan, and Wang Kuo. "COLREGs-Compliant Multi-Ship Collision Avoidance Based on Multi-Agent Reinforcement Learning Technique." Journal of Marine Science and Engineering 10, no. 10 (2022): 1431. http://dx.doi.org/10.3390/jmse10101431.

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The congestion of waterways can easily lead to traffic hazards. Moreover, according to the data, the majority of sea collisions are caused by human error and the failure to comply with the Convention on the International Regulation for the preventing Collision at Sea (COLREGs). To avoid this situation, ship automatic collision avoidance has become one of the most important research issues in the field of marine engineering. In this study, an efficient method is proposed to solve multi-ship collision avoidance problems based on the multi-agent reinforcement learning (MARL) algorithm. Firstly, t

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18

Li, Haibin, Xin Wang, Tianhao Wu, and Shengke Ni. "A COLREGs-Compliant Ship Collision Avoidance Decision-Making Support Scheme Based on Improved APF and NMPC." Journal of Marine Science and Engineering 11, no. 7 (2023): 1408. http://dx.doi.org/10.3390/jmse11071408.

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In this paper, combined with the improved artificial potential field (IAPF) method and the nonlinear model predictive control (NMPC) algorithm, a collision avoidance decision-making support scheme considering ship maneuverability and the International Regulations for Preventing Collisions at Sea (COLREGs) is proposed. First, to comply with the requirements of COLREGs, an improved repulsive potential field is presented for different encounter scenarios when the ship detects the risk of collision, and the coordinated ship domain is applied to provide safety criteria for collision avoidance. Then

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19

Kim, Dong-Gyun, Katsutoshi Hirayama, and Gyei-Kark Park. "Collision Avoidance in Multiple-Ship Situations by Distributed Local Search." Journal of Advanced Computational Intelligence and Intelligent Informatics 18, no. 5 (2014): 839–48. http://dx.doi.org/10.20965/jaciii.2014.p0839.

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As vital transportation carriers in trade, ships have the advantage of stability, economy, and bulk capacity over airplanes, trucks, and trains. Even so, their loss and cost due to collisions and other accidents exceed those of any other mode of transportation. To prevent ship collisions many ways have been suggested, e.g., the 1972 COLREGs which is the regulation for preventing collision between ships. Technologically speaking, many related studies have been conducted. The term “Ship domain” involves that area surrounding a ship that the navigator wants to keep other ships clear of. Ship doma

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20

Wang, Zhiyuan, Yong Wu, Xiumin Chu, Chenguang Liu, and Mao Zheng. "Risk Identification Method for Ship Navigation in the Complex Waterways via Consideration of Ship Domain." Journal of Marine Science and Engineering 11, no. 12 (2023): 2265. http://dx.doi.org/10.3390/jmse11122265.

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Collision risk identification is an important basis for intelligent ship navigation decision-making, which evaluates results that play a crucial role in the safe navigation of ships. However, the curvature, narrowness, and restricted water conditions of complex waterways bring uncertainty and ambiguity to the judgment of the danger of intelligent ship navigation situation, making it difficult to calculate such risk accurately and efficiently with a unified standard. This study proposes a new method for identifying ship navigation risks by combining the ship domain with AIS data to increase the

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21

Zhang, Ke, Liwen Huang, Xiao Liu, et al. "A Novel Decision Support Methodology for Autonomous Collision Avoidance Based on Deduction of Manoeuvring Process." Journal of Marine Science and Engineering 10, no. 6 (2022): 765. http://dx.doi.org/10.3390/jmse10060765.

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In the last few years, autonomous ships have attracted increasing attention in the maritime industry. Autonomous ships with an autonomous collision avoidance capability are the development trend for future ships. In this study, a ship manoeuvring process deduction-based dynamic adaptive autonomous collision avoidance decision support method for autonomous ships is presented. Firstly, the dynamic motion parameters of the own ship relative to the target ship are calculated by using the dynamic mathematical model. Then the fuzzy set theory is adopted to construct collision risk models, which comb

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22

Guan, Zhiying, Yan Wang, Zheng Zhou, and Hongbo Wang. "Research on Early Warning of Ship Danger Based on Composition Fuzzy Inference." Journal of Marine Science and Engineering 8, no. 12 (2020): 1002. http://dx.doi.org/10.3390/jmse8121002.

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Ship collision avoidance measures are important for reducing marine accidents caused by human factors and various natural environmental factors and can also prevent property loss and casualties. In recent years, various methods have been used to study collision avoidance, including ship domain models. This paper proposes a ship domain model based on fuzzy logic aimed at providing early warning of ship collision risk and a reasonable reference that can be used in combination with the International Regulation for Preventing Collisions at Sea (COLREGs). The composition fuzzy inference combining m

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23

Lee, Dong-Hun, Mu-Yeong Seo, Hyo-Geun Lee, Won-Jun Yoo, Sanghyun Kim, and Kwang-Jun Paik. "A Study on Multi-ship Avoidance System for Unmanned Surface Vehicles Using the Quaternion Ship Domain and Collision Risk Index." Journal of Ocean Engineering and Technology 39, no. 1 (2025): 103–21. https://doi.org/10.26748/ksoe.2025.007.

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Collision avoidance is essential for the safe navigation of unmanned surface vehicles (USVs). This paper proposes a multi-ship collision avoidance algorithm that integrates the quaternion ship domain (QSD) and collision risk index (CRI) to assess collision risk and generate optimal avoidance trajectories. The algorithm was used to evaluate target ships (TS) using the CRI values, adapt the ship domain based on QSD, and use the velocity obstacle (VO) method to determine feasible avoidance paths while adhering to the International Regulations for Preventing Collisions at Sea (COLREGs). Through 14

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Pan, Wei, Yukuan Wang, Xinlian Xie, Meng Li, and Jinru Fan. "Ship Collision Risk Assessment Algorithm Based on the Especial Cautious Navigation Angle Model." Journal of Marine Science and Engineering 13, no. 1 (2025): 173. https://doi.org/10.3390/jmse13010173.

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To address the challenges posed by dense shipping traffic and the difficulty of identifying navigation risks in open waters, this paper introduces an Especial Cautious Navigation Angle (ECNA) model for ships, grounded in ship collision avoidance geometry. The ECNA model dynamically identifies the range of navigation angles where collision risks may arise between ships. Building upon this model, a comprehensive scoring algorithm is proposed to assess ship collision risks in open waters. This algorithm not only effectively tracks the evolving risk of collisions but also prioritizes ships with th

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25

Ni, Shengke, Zhengjiang Liu, and Yao Cai. "Ship Manoeuvrability-Based Simulation for Ship Navigation in Collision Situations." Journal of Marine Science and Engineering 7, no. 4 (2019): 90. http://dx.doi.org/10.3390/jmse7040090.

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In this article, a ship manoeuvrability-based simulation for ship navigation in collision situations is established. Under the general requirement from the Convention on the International Regulations for Preventing Collisions at Sea (COLREGs) and good seamanship, the determination of encounter situations is quantified to reduce navigators’ intervention. Meanwhile, the action manner by course alteration or changing speed in some typical encounter situations is graphically analysed for both the give-way and stand-on vessels. Then, the multiple genetic algorithm and linear extension algorithm are

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Argüelles, Reyes Poo, Jesús A. García Maza, Felipe Mateos Martín, and Marlene Bartolomé. "Ship-to-ship dialogues and agreements for collision risk reduction." Journal of Navigation 74, no. 5 (2021): 1039–56. http://dx.doi.org/10.1017/s0373463321000448.

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AbstractNon-compliance with or misinterpretation of the International Regulations for Preventing Collisions at Sea (COLREGs) when assessing vessel encounters, and the lack of good communication between the vessels involved in a critical situation, are primary contributing factors in collisions. Vessels engaged in an encounter should be aware that they are part of the same scenario and situation, which can become critical. Sharing and contrasting their information about the encounter would help those responsible to take manoeuvring decisions in a consistent way. There are situations whose evalu

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Xu, Qingyang, and Ning Wang. "A Survey on Ship Collision Risk Evaluation." PROMET - Traffic&Transportation 26, no. 6 (2014): 475–86. http://dx.doi.org/10.7307/ptt.v26i6.1386.

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Recently, ship collision avoidance has become essential due to the emergence of special vessels like chemical tankers and VLCCs (very large crude carriers), etc. The information needed for safe navigation is obtained by combining electrical equipment with real-time visual information. However, misjudgements and human errors are the major cause of ship collisions according to research data. The decision support system of Collision avoidance is an advantageous facility to make up for this. Collision risk evaluation is one of the most important problems in collision avoidance decision supporting

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Zhu, Chuanguang, Jinyu Lei, Zhiyuan Wang, et al. "Risk Analysis and Visualization of Merchant and Fishing Vessel Collisions in Coastal Waters: A Case Study of Fujian Coastal Area." Journal of Marine Science and Engineering 12, no. 4 (2024): 681. http://dx.doi.org/10.3390/jmse12040681.

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The invasion of ship domains stands out as a significant factor contributing to the risk of collisions during vessel navigation. However, there is a lack of research on the mechanisms underlying the collision risks specifically related to merchant and fishing vessels in coastal waters. This study proposes an assessment method for collision risks between merchant and fishing vessels in coastal waters and validates it through a comparative analysis through visualization. First of all, the operational status of fishing vessels is identified. Collaboratively working fishing vessels are treated as

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Zhou, Lingyu, Huayong Li, Jun Wei, Xingxu Pu, Akim D. Mahunon, and Liqiang Jiang. "Design and Simulation Analysis of a New Type of Assembled UHPC Collision Avoidance." Applied Sciences 10, no. 13 (2020): 4555. http://dx.doi.org/10.3390/app10134555.

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Ship-bridge collisions are one of the most common types of accidents, and bridge anti-ship collision devices are of great importance for bridge protection. First, a new type of assembled ultra-high performance concrete (UHPC) collision avoidance is proposed in this paper. The main components of the device are double-deck, two-way, densely reinforced ultra-high performance concrete floating boxes that are connected by high-strength bolts to form the whole structure and are equipped with steel supporting elements to form a collision energy dissipation device. The device is self-floating in water

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Priohutomo, Kusnindar, Agus Achmad Masroeri, and Chandra Permana. "Maneuver Control System for Collision Avoidance Based On Experimental Study." EPI International Journal of Engineering 1, no. 2 (2018): 65–69. http://dx.doi.org/10.25042/epi-ije.082018.10.

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Autopilot mode in the ship navigation system is intended to assist the work of the captain in controlling the ship, but the autopilot mode still has some disadvantages such as in the case of maneuvers to avoid collisions. Many studies on design of anti-collision design. But almost all use a numerical approach. In this paper will be discussed the design of maneuver controls that will be used on the ship model to avoid the ship from the collision. Where within the control system there are several sensors, including ultrasonic sensors, gyro sensors and Qualysis cameras. From ship model testing co

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Ha, Jisang, Myung-Il Roh, and Hye-Won Lee. "Quantitative calculation method of the collision risk for collision avoidance in ship navigation using the CPA and ship domain." Journal of Computational Design and Engineering 8, no. 3 (2021): 894–909. http://dx.doi.org/10.1093/jcde/qwab021.

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Abstract Collision risk (CR) assessment is necessary for avoiding collisions with other ships. The CR can be used to make decisions on collision avoidance. In this respect, the ship domain and the closest point of approach (CPA)-based methods have been proposed to assess the CRs. However, the ship domain method is limited in terms of the quantitative calculation of the CR, whereas the CPA-based method does not guarantee reliable collision avoidance. In this study, an improved method is proposed for the quantitative calculation of the CR in ship navigation that combines the advantages of two ex

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Liu, Zihao, Dan Zhou, Zhongyi Zheng, Zhaolin Wu, and Longhui Gang. "An Analytic Model for Identifying Real-Time Anchorage Collision Risk Based on AIS Data." Journal of Marine Science and Engineering 11, no. 8 (2023): 1553. http://dx.doi.org/10.3390/jmse11081553.

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With the increasing volume of ship traffic, maritime traffic safety is facing a great challenge because the traffic in port becomes more and more crowded and complicated, which will make ship collisions more likely to happen. As a special water area of the port, the anchorage is also threatened by collision risk all the time. For accurately assessing the collision risk in anchorage and its adjacent waters in real time, this paper proposed an analytic model based on Automatic Identification System (AIS) data. The proposed anchorage collision risk model was established in microscopic, macroscopi

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33

Gong, Haonan. "Application of Viscoelastic Materials in Ship Collision." Journal of Contemporary Educational Research 5, no. 11 (2021): 118–24. http://dx.doi.org/10.26689/jcer.v5i11.2690.

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With the expansion of global trade routes, ship collision has become a major problem. This article proposes an approach by laying viscoelastic material on the inner side of the ship to increase the crashworthiness. By using the nonlinear finite element model software, this study simulates ship collisions as well as models and analyzes ships along with viscoelastic materials. The results from the simulation suggest that viscoelastic materials can effectively protect ships during collisions.

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Namgung, Ho. "Local Route Planning for Collision Avoidance of Maritime Autonomous Surface Ships in Compliance with COLREGs Rules." Sustainability 14, no. 1 (2021): 198. http://dx.doi.org/10.3390/su14010198.

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A maritime autonomous surface ship (MASS) ensures safety and effectiveness during navigation using its ability to prevent collisions with a nearby target ship (TS). This avoids the loss of human life and property. Therefore, collision avoidance of MASSs has been actively researched recently. However, previous studies did not consider all factors crucial to collision avoidance in compliance with the International Regulations for Preventing Collisions at Sea (COLREGs) Rules 5, 7, 8, and 13–17. In this study, a local route-planning algorithm that takes collision-avoidance actions in compliance wi

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Weng, Jinxian, Shiguan Liao, and Guorong Li. "Bayesian Regression Model for Estimating Economic Loss Resulting from Two-Ship Collisions." Transportation Research Record: Journal of the Transportation Research Board 2673, no. 1 (2019): 164–72. http://dx.doi.org/10.1177/0361198118821599.

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This study aims to develop a Bayesian regression model to evaluate the economic loss resulting from two-ship collisions using ten years’ ship collision data for occurrances in Fujian waters. The model results show that the involvement of passenger/cruise ships could cause the largest increment on economic loss in ship collisions. Interestingly, it is found the involvement of fishing ships could greatly increase the ship collision consequence in terms of economic loss. Results also reveal that the higher economic loss is associated with the collisions in the straits/sea areas, under the strong

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Zheng, Yisong, Xiuguo Zhang, Zijing Shang, Siyu Guo, and Yiquan Du. "A Decision-Making Method for Ship Collision Avoidance Based on Improved Cultural Particle Swarm." Journal of Advanced Transportation 2021 (January 15, 2021): 1–31. http://dx.doi.org/10.1155/2021/8898507.

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In the process of ship collision avoidance decision making, steering collision avoidance is the most frequently adopted collision avoidance method. In order to obtain an effective and reasonable steering angle, this paper proposes a decision-making method for ship collision avoidance based on improved cultural particle swarm. Firstly, the ship steering angle direction is to be determined. In this stage, the Kalman filter is used to predict the ship’s trajectory. According to the prediction parameters, the collision risk index of the ship is calculated and the situation with the most dangerous

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Quang Nguyen, Van, Tu Nam Luong, and Van Luong Tran. "A Study on A Novel Collision Risk Prediction Map for Maritime Traffic Surveillance Based on Ship Domain." International journal of electrical and computer engineering systems 15, no. 6 (2024): 499–513. http://dx.doi.org/10.32985/ijeces.15.6.4.

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Recently, a regional model for assessing the risk of multi-ship collision has been developed to reduce the risk of ship collision in territorial sea areas such as trade ports and entry waterways and improve the safety and efficiency of ship traffic. The focus is on marine traffic in the visualized waters with the risk of ship collision. However, due to the lack of information from experts with sufficient knowledge and experience in a given area, they also have some limitations in adequately and comprehensively representing the risk of collision, especially in busy waterways where encounters of

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Lazarowska, Agnieszka. "Safe Ship Control Method with the Use of Ant Colony Optimization." Solid State Phenomena 210 (October 2013): 234–44. http://dx.doi.org/10.4028/www.scientific.net/ssp.210.234.

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Nowadays Integrated Bridge Systems are applied on board a ship to increase safety of navigation. These systems consist of many electronic devices such as radar, ECDIS and autopilot, which aid the deck officer in the process of conducting navigation. Despite that, ship accidents caused by human error still occur. The paper presents new method of safe ship control in collision situations. Ant Colony Optimization is applied to determine safe ship trajectory. Developed algorithm is applicable for situations in restricted waters, where most of collision situations occur. International Regulations f

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Li, Qiang. "A Research on Autonomous Collision Avoidance under the Constraint of COLREGs." Sustainability 15, no. 3 (2023): 2446. http://dx.doi.org/10.3390/su15032446.

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In this paper, a decision-making model suitable for the collision avoidance (CA) of numerous target ships (TSs) is proposed, based on the principle of ship collision avoidance geometry and the characteristics of numerous target ships’ collision avoidance at sea. To ensure that the collision avoidance behaviors of own-ship (OS) are subject to the International Regulations for Preventing Collisions at Sea (COLREGS), this paper gives full consideration to the requirements of COLREGS within the scope of CA action and the time of collision avoidance. A ship CA simulation is established based on the

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Weng, Jinxian, Guorong Li, Tian Chai, and Dong Yang. "Evaluation of Two-Ship Collision Severity using Ordered Probit Approaches." Journal of Navigation 71, no. 4 (2018): 822–36. http://dx.doi.org/10.1017/s0373463317000996.

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This study develops an ordered probit model to evaluate the factors influencing two-ship collision severity using ten years’ ship collision accident data from Fujian sea areas. The model results show that the involvement of big ships has the largest impact in increasing the probability of a serious or very serious accident, followed by the involvement of fishing vessels. There will be a bigger probability of a serious accident if both ships involved in the collision are cargo ships. We found that the season of spring, poor visibility and night time periods are more likely to be factors in high

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Gu, Chaohong, Youbing Feng, Weibo Zhong, Litao Cai, and Huiyan Chu. "Research on Autonomous Collision Avoidance of USV Based on Improved APF Algorithm." Journal of Physics: Conference Series 2868, no. 1 (2024): 012007. http://dx.doi.org/10.1088/1742-6596/2868/1/012007.

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Abstract Aiming at the problem of Unmanned Surface Vessel (USV) avoiding dynamic vessels on the sea surface, an Artificial Potential Field method based on Velocity Obstacle Method (VO-APF) was studied. Under the premise of complying with the Convention on the International Regulations for Preventing Collisions at Sea (COLREGs), the overlapping of ship domains is minimized. The Quaternion ship domain was introduced into VO to make it more suitable for collision avoidance judgment in the ship domain, and the collision avoidance time of the ship was predicted, and the reasonable obstacle avoidanc

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Yoo, Yunja, and Jin-Suk Lee. "Collision Risk Assessment Support System for MASS RO and VTSO Support in Multi-Ship Environment of Vessel Traffic Service Area." Journal of Marine Science and Engineering 9, no. 10 (2021): 1143. http://dx.doi.org/10.3390/jmse9101143.

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The discussions by the International Maritime Organization for the introduction of a maritime autonomous surface ship (MASS) began in earnest. At the 27th ENAV meeting, the International Association of Marine Aids to Navigation and Lighthouse Authorities proposed the “sharing of a common operating picture for situational awareness of the waterway within vessel traffic service (VTS) environment” when developing a system to support MASS operation. Marine accidents caused by collisions on waterways still account for a high percentage of ship accidents that occur at sea, and many studies have inve

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Huang, Yanguo, Sishuo Zhao, and Shuling Zhao. "Ship Trajectory Planning and Optimization via Ensemble Hybrid A* and Multi-Target Point Artificial Potential Field Model." Journal of Marine Science and Engineering 12, no. 8 (2024): 1372. http://dx.doi.org/10.3390/jmse12081372.

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Ship path planning is the core problem of autonomous driving of smart ships and the basis for avoiding obstacles and other ships reasonably. To achieve this goal, this study improved the traditional A* algorithm to propose a new method for ship collision avoidance path planning by combining the multi-target point artificial potential field algorithm (MPAPF). The global planning path was smoothed and segmented into multi-target sequence points with the help of an improved A* algorithm and fewer turning nodes. The improved APF algorithm was used to plan the path of multi-target points locally, a

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Yu, Jiagen, Zhengjiang Liu, and Xianku Zhang. "DCA-Based Collision Avoidance Path Planning for Marine Vehicles in Presence of the Multi-Ship Encounter Situation." Journal of Marine Science and Engineering 10, no. 4 (2022): 529. http://dx.doi.org/10.3390/jmse10040529.

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The problem of ship collision avoidance path planning is one of the key problems in the ship motion control field. Aiming at the high computational time problem of path planning in multi-ship encounter situations and the impact of the target ship’s action changes on path planning, this paper proposes a dynamic path-planning method based on dynamic cluster analysis (DCA), which is used to dynamically cluster target ships with similar attributes into a group ship, reducing the number of calculated targets and improving the efficiency of path planning. Taking into full consideration the action re

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Ma, Wen Yao, and Jia Xuan Yang. "Collision Avoidance Strategy Optimization of Ship’s Speed Alteration with Bacterial Foraging Algorithm." Applied Mechanics and Materials 278-280 (January 2013): 1318–22. http://dx.doi.org/10.4028/www.scientific.net/amm.278-280.1318.

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When ship navigates at sea, collision avoidance of ship’s speed alteration is frequently adopted by officer on watch in order to prevent from forming collision situation with target ship(s). Bacterial foraging algorithm (BFA) that imitates the social foraging behavior of Escherichia coli is an optimal search method suitable for complex problems. This research adopts the bacterial foraging algorithm to find the speed alteration collision avoidance strategy from an economical viewpoint, combining the international regulations for preventing collisions at sea (COLREGS) and the safety domain of sh

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Zhou, Yu, Weijie Du, Jiao Liu, et al. "Determination of Ship Collision Avoidance Timing Using Machine Learning Method." Sustainability 16, no. 11 (2024): 4626. http://dx.doi.org/10.3390/su16114626.

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The accurate timing for collision avoidance actions is crucial for preventing maritime collisions. Traditional methods often rely on collision risk assessments, using quantitative indicators like the Distance to the Closest Point of Approach (DCPA) and the Time to the Closest Point of Approach (TCPA). Ship Officers on Watch (OOWs) are required to execute avoidance maneuvers once these indicators reach or exceed preset safety thresholds. However, the effectiveness of these indicators is limited by uncertainties in the maritime environment and the human behaviors of OOWs. To address these limita

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Sukarsa, A. A. R., R. W. Prastianto, and Murdjito. "Stress Analysis on Boat Landing Structure of a Tripod-Type Offshore Platform Due to Ship Collision." IOP Conference Series: Earth and Environmental Science 1473, no. 1 (2025): 012005. https://doi.org/10.1088/1755-1315/1473/1/012005.

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Abstract From 1996 to the end of 2015, the Health and Safety Executive of Liverpool John Moores University recorded a total of 176 incidents resulting from collisions between ships during operations with jacket platforms. A jacket platform structure capability of withstanding unforeseen accident loads, such as potential ship collisions with the platform structure, is essential. The boatlanding structure must be designed to absorb energy from ship collisions with the platform structure. This study analyzes ship collisions with the boatlanding structure to examine its strength capacity in resist

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Vukša, Srđan, Pero Vidan, Mihaela Bukljaš, and Stjepan Pavić. "Research on Ship Collision Probability Model Based on Monte Carlo Simulation and Bi-LSTM." Journal of Marine Science and Engineering 10, no. 8 (2022): 1124. http://dx.doi.org/10.3390/jmse10081124.

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The efficiency and safety of maritime traffic in a given area can be measured by analyzing traffic density and ship collision probability. Maritime traffic density is the number of ships passing through a given area in a given period of time. It can be measured using vessel tracking systems, such as the Automatic Identification System (AIS). The information provided by AIS is real-time data designed to improve maritime safety. However, the AIS data can also be used for scientific research purposes to improve maritime safety by developing predictive models for collisions in a research area. Thi

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Guan, Wei, Ming-yang Zhao, Cheng-bao Zhang, and Zhao-yong Xi. "Generalized Behavior Decision-Making Model for Ship Collision Avoidance via Reinforcement Learning Method." Journal of Marine Science and Engineering 11, no. 2 (2023): 273. http://dx.doi.org/10.3390/jmse11020273.

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Due to the increasing number of transportation vessels, marine traffic has become more congested. According to the statistics, 89% to 95% of maritime accidents are related to human factors. In order to reduce marine incidents, ship automatic collision avoidance has become one of the most important research issues in the field of ocean engineering. A generalized behavior decision-making (GBDM) model, trained via a reinforcement learning (RL) algorithm, is proposed in this paper, and it can be used for ship autonomous driving in multi-ship encounter situations. Firstly, the obstacle zone by targ

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Lušić, Zvonimir, and Mirko Čorić. "Models for Estimating the Potential Number of Ship Collisions." Journal of Navigation 68, no. 4 (2015): 735–49. http://dx.doi.org/10.1017/s0373463314000903.

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This paper analyses two different methods of estimating ship collision candidates. The first one is an analytical approach; accordingly, an overview of various analytical expressions for estimating the number of collision candidates for three main situations (encounter, overtaking, and crossing) will be presented. The second is a simulation approach: the paper will present how to simulate ship movements by replacing them with circles in order to obtain a graphical presentation of ship movements in the zone of danger, including the calculation of collision candidates. The applied simulation mod

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