考虑目标船只不确定性的沿海水域避碰决策研究

IF 4.3 3区 材料科学 Q1 ENGINEERING, ELECTRICAL & ELECTRONIC
Jianjie Gao, Yuquan Zhang
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引用次数: 0

摘要

避免船舶碰撞一直是人们关注的问题,也是实现海上船舶安全航行的关键。关于开阔水域船舶避碰的研究很多,但由于环境和交通流的复杂性,考虑到目标船舶的不确定性,对近海水域的避碰研究关注较少。本文提出了考虑目标船舶不确定性的沿海水域避碰决策研究。首先,通过对原始自动识别系统(AIS)数据进行预处理,获得精确的船舶轨迹。随后,利用点排序识别聚类结构(OPTICS)算法和 Hausdorff 距离对处理后的轨迹进行聚类,获得目标船轨迹预测数据集。然后,利用混合高斯模型计算预测模型的先验概率分布,从而建立考虑目标舰船不确定性的轨迹预测模型。最后,利用数学模型组(MMG)和比例积分微分(PID)模型模拟舰船的机动性,并构建舰船避碰决策模型。所提出的算法已在案例研究中进行了测试和验证。结果表明,该方法能有效预测目标船的轨迹,有助于做出明智的避碰决策。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Ship collision avoidance decision-making research in coastal waters considering uncertainty of target ships
Ship collision avoidance has always been a concern and it is crucial for achieving safe navigation of ships at sea. There are many studies on ship collision avoidance in open water, but less attention on coastal waters considering the uncertainty of target ships due to the complexity of the environment and traffic flow. In this paper, collision avoidance decision-making research in coastal waters considering the uncertainty of target ships was proposed. Firstly, accurate ship trajectories are obtained by preprocessing the raw Automatic Identification System (AIS) data. Subsequently, the processed trajectories are clustered using the Ordering Points to Identify the Clustering Structure (OPTICS) algorithm and Hausdorff distance, acquiring a dataset for trajectory prediction of target ships. Then, a mixed Gaussian model is utilized to calculate the prior probability distribution of the prediction model, thus establishing a trajectory prediction model that considers the uncertainty of the target ship. Finally, ship maneuverability is simulated using the Mathematical Model Group (MMG) and Proportion Integration Differentiation (PID) models, and a collision avoidance decision-making model for ships is constructed. The proposed algorithm has been tested and verified in a case study. The results show that the approach effectively predicts the trajectory of the target ship and facilitates informed collision avoidance decision-making.
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来源期刊
CiteScore
7.20
自引率
4.30%
发文量
567
期刊介绍: ACS Applied Electronic Materials is an interdisciplinary journal publishing original research covering all aspects of electronic materials. The journal is devoted to reports of new and original experimental and theoretical research of an applied nature that integrate knowledge in the areas of materials science, engineering, optics, physics, and chemistry into important applications of electronic materials. Sample research topics that span the journal's scope are inorganic, organic, ionic and polymeric materials with properties that include conducting, semiconducting, superconducting, insulating, dielectric, magnetic, optoelectronic, piezoelectric, ferroelectric and thermoelectric. Indexed/​Abstracted: Web of Science SCIE Scopus CAS INSPEC Portico
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