基于局部密度的成山角船舶交通流特征分析

周世波; 熊振南

doi:10.16411/j.cnki.issn1006-7736.2019.03.014

大连海事大学学报 >

2019 , Vol. 45 >Issue 3: 100 - 105

DOI: https://doi.org/10.16411/j.cnki.issn1006-7736.2019.03.014

船舶与海洋工程

基于局部密度的成山角船舶交通流特征分析

周世波 ,
熊振南

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(集美大学航海学院，福建厦门 361021)

周世波（1978 — ），男，博士，副教授，E-mail:jmusailor@163.com.

收稿日期: 2019-04-22

修回日期: 2019-06-03

网络出版日期: 2019-06-04

基金资助

福建省自然科学基金资助项目（2019J01325;2019J01326）.

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Characteristic analysis of ship traffic flow at Chengshanjiao based on local density

ZHOU Shi-bo ,
XIONG Zhen-nan

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（Navigation College, Jimei University, Xiamen 361021,China）

Received date: 2019-04-22

Revised date: 2019-06-03

Online published: 2019-06-04

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摘要

为分析成山角定线制水域的船舶交通流特征，利用AIS岸基系统采集经过成山角分道通航制水域的船舶位置数据，通过这些位置数据点的近邻信息计算各个船舶位置点的局部密度，提取船舶在成山角分道通航制水域的航行热点区域.在此基础上，分析成山角分道通航制水域中不同吨级船舶、南下和北上船舶的航行偏好，以及船舶在不同时段航行偏好的动态变化等船舶交通流特征.对成山角船舶交通流特征分析的结果表明，局部密度反映了船舶位置数据点蕴涵的局部信息特征，可以揭示船舶位置点与其相邻位置点的相对紧密程度，可有效解决船舶交通流特征的识别问题，实现对船舶交通流在时空上动态变化的分析和比较.

关键词： 水路运输; 成山角; 船舶交通流特征; 局部密度; 数据挖掘

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周世波 , 熊振南 . 基于局部密度的成山角船舶交通流特征分析[J]. 大连海事大学学报, 2019 , 45(3) : 100 -105 . DOI: 10.16411/j.cnki.issn1006-7736.2019.03.014

Abstract

In order to analyze the characteristics of ship traffic flow in Chengshanjiao routeing waters,the AIS shore-based system was used to collect the position data of ships passing through the waters of the Chengshanjiao channel navigation system.The local density of each ship's position points has been calculated by using the neighborhood information of these position data points to extract the navigation hotspot areas of the ship in the waters with channel navigation system at Chengshanjiao. On this basis,the characteristics of ship traffic flow in Chengshanjiao waters were analyzed, including the navigation preferences of ships of different tonnage,ships going south and northward, and the dynamic changes of ship navigation preferences in different time periods.The results show that local density reflects the local information characteristics of ship position data points, which can reveal the relative tightness between ship location points and their adjacent location points,which can effectively solve the identification problem of ship traffic flow characteristics and realize the analysis and comparison of dynamic changes of ship traffic flow in time and space.

Key words： waterway transportation; Chhengshanjiao; characteristics of ship traffic flow; local density; data mining

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