基于实际交通流的航海模拟器智能目标船系统

陈立家; 卢学; 李世刚

doi:10.16411/j.cnki.issn1006-7736.2020.04.002

大连海事大学学报 >

2020 , Vol. 46 >Issue 4: 8 - 16

DOI: https://doi.org/10.16411/j.cnki.issn1006-7736.2020.04.002

交通运输工程

基于实际交通流的航海模拟器智能目标船系统

陈立家 ,
卢学 ,
李世刚

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(1.武汉理工大学 a.航运学院；b.内河航运技术湖北省重点实验室，武汉 430063；2.江苏海事局，南京 210000)

陈立家*（1979 — ），男，博士，副教授，博士生导师，E-mail：navisky@qq.com.

收稿日期: 2020-06-17

修回日期: 2020-09-08

网络出版日期: 2020-09-08

基金资助

国家重点研发计划项目（2018YFC081040005;2018YFC140740003）.

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Intelligent target ship system of navigation simulator based on actual traffic flow

CHEN Li-jia ,
LU Xue ,
LI Shi-gang

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（1a. School of Navigation; 1b. Hubei Provincial Key Laboratory of Inland Navigation Technology, Wuhan University of Technology, Wuhan 430063, China;?
2. Jiangsu Maritime Safety Administration, Nanjing 210000, China）

Received date: 2020-06-17

Revised date: 2020-09-08

Online published: 2020-09-08

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摘要

针对航海模拟器训练场景中目标船交通组织复杂和主观等问题，设计航海模拟器智能目标船系统.首先，从自动识别系统数据中获取特征轨迹，基于DBSCAN算法进行船舶轨迹聚类分析，归一化组合距离进行相似性度量，构建目标船计划航线库；其次，构建目标船模型库与索引表，设计目标船寻优算法，为计划航线匹配最优目标船；最后，设计目标船智能控制算法，实现目标船航线跟踪和智能避碰的功能.实验场景训练结果表明，系统可还原实际交通流仿真场景和船舶间的自主避碰,减少训练场景编制工作量，提高航海模拟器训练效果.

关键词： ?航海模拟器; 目标船; 自动识别系统(AIS); 交通流; 轨迹跟踪; 智能避碰

本文引用格式

陈立家 , 卢学 , 李世刚 . 基于实际交通流的航海模拟器智能目标船系统[J]. 大连海事大学学报, 2020 , 46(4) : 8 -16 . DOI: 10.16411/j.cnki.issn1006-7736.2020.04.002

Abstract

Aiming at the complicated and subjective issues of target ship traffic organization in the navigation simulator training scenario, the intelligent target ship system of the navigation simulator was designed. Firstly, the feature trajectories were obtained from the automatic identification system data, and the ship trajectories were clustered based on the DBSCAN algorithm, and the similarity was measured by normalized combination distance to construct the target ship planned route database.Secondly, the model database and index table of the target ship were constructed, and the optimization algorithm of the target ship was designed to match the optimal target ship for the planned route. Finally, the intelligent control algorithm of target ship was designed to realize the function of target ship route tracking and intelligent collision avoidance. The training results of the experimental scene show that the system can restore the actual traffic flow simulation scene and the independent collision avoidance between ships, reduce the workload of training scene compilation, and improve the training effect of navigation simulator.

Key words： navigation simulator; target ship; automatic identification system(AIS); traffic flow; trajectory tracking; intelligent collision avoidance

参考文献

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