摘要
以某艘到达天津港的集装箱船舶AIS数据为例,分析讨论如何选取模型参数获取船舶典型运动轨迹。并采用典型运动轨迹预测船舶航行时间,应用实例表明基于典型运动轨迹可以较船期表更加准确地预测船舶航行时间。
AIS data about a container vessel approaching Tianjin port is used to analyze and discuss the selection of model parameters for obtaining typical motion trajectory of the vessel,which assists the estimation of navigation time of the container vessel.The application result shows that the vessel’s navigation time can be estimated more accurately based on the typical motion trajectory than the shipping schedule list.
作者
唐国磊
赵宇迪
宋向群
于菁菁
齐越
Tang Guolei;Zhao Yudi;Song Xiangqun;Yu Jingjing;Qi Yue(State Key Laboratory of Coastal and Offshore Engineering, Dalian University of Technology, DalianLiaoning 116024, China;Transport Planning and Research Institute, Ministry of Transport, Beijing100028, China)
出处
《港工技术》
2018年第6期6-9,共4页
Port Engineering Technology
基金
大数据背景下耦合多源信息的集装箱港口生产适应性调度研究(51579035)
大数据环境下船舶行为的时空特征解析研究(20170540150)
物联网背景下智慧港口信息服务系统研究(2016RQ024)
关键词
AIS
核心对象
典型运动轨迹
码头
港口建设
AIS
core object
typical motion trajectory
wharf
harbor construction
