基于AIS数据的船舶领域建模  

Ship Domain Modeling Based on AIS Data

作　　者：文元桥[1,2] 王玉宾 张帆[3,2] 张义萌[3] 黄亮 周春辉[3,2] WEN Yuanqiao;WANG Yubin;ZHANG Fan;ZHANG Yimeng;HUANG Liang;ZHOU Chunhui(Intelligence Transportation Systems Research Center, Wuhan University of Technology, Wuhan 430063, China;School of Navigation, Wuhan University of Technology, Wuhan 430063, China;Hubei Key Laboratory of Inland Shipping Technology, Wuhan University of Technology, Wuhan 430063, China)

机构地区：[1]武汉理工大学智能交通系统研究中心,武汉430063 [2]武汉理工大学内河航运技术湖北省重点实验室,武汉430063 [3]武汉理工大学航运学院,武汉430063

出　　处：《中国航海》2018年第4期1-6,共6页Navigation of China

基　　金：国家自然科学基金青年项目(51709218);国家自然科学基金(51679180)

摘　　要：为研究船舶领域,利用船舶自动识别系统(Automatic Identification System,AIS)数据,提出一种船舶领域建模方法。根据样本选取目标船,通过提取目标船的周围船舶,对周围船舶相对目标船的运动轨迹进行拟合,从而求取船-船最近距离,以该最近距离确定目标船周围最近船舶的相对位置分布,构建出船舶领域统计模型。以最近船舶的相对位置分布为样本,运用统计学的方法,进行样本估计,进而确定船舶领域的形状和大小。利用荆州渡船区域的AIS数据,对该模型进行验证,并通过对比分析横穿航道的横驶船与航道内直航船以及不同尺度的上行船舶和下行船舶的船舶领域特征,得到不同类型船舶的领域特征差异。结果表明,利用该模型所确定的船舶领域与实际情况相符。A method of modeling ship domains based on Automatic Identification System(AIS)data is proposed.A set of target ships are chosen and the trajectories of ships sailing nearby are reconstructed through AIS data fitting.The shortest distances between the selected target ships and the nearby ship trajectories are found and the statistical model of ship domain is built according to the relative position distribution of the closest point to target ships.The method is verified with the AIS data of Jingzhou Ferry area.The ship domain characteristics found by the proposed method for the cross-river vessels and stand on vessels,and the vessels of different sizes going upstream and downstream reflect the actual navigation practice well.

关 键 词：AIS数据 船舶领域 建模 领域特征 

分 类 号：U675.7[交通运输工程—船舶及航道工程]