Study on collision avoidance in busy waterways by using AIS data

Study on collision avoidance in busy waterways by using AIS data
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DOI:
10.1016/j.oceaneng.2010.01.012
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发表时间:
2010-04
期刊:
影响因子:
5
通讯作者:
Jun Min Mou;Cees van der Tak;Han Ligteringen
Jun Min Mou;Cees van der Tak;Han Ligteringen
中科院分区:
工程技术2区
文献类型:
--
作者:
Jun Min Mou;Cees van der Tak;Han Ligteringen

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由于船舶交通的高密度,忙碌水道是具有高碰撞可能性的水域。AIS的应用使准确、真实地调查涉撞船舶的行为成为可能,有利于该地区的船舶交通管理和航道设计。以欧洲鹿特丹港外的一个分道通航制为例,利用AIS数据对船舶碰撞情况进行了统计分析。为了确定作为避碰关键指标的CPA与船舶尺寸、航速和航向的相关性,建立了线性回归模型。为了评估风险,提出了一种基于SAMSON的动态方法。
Due to high density of vessel traffic, busy waterways are water areas with high potential for collisions. The application of AIS makes it possible to investigate accurate and actual behavior of collision-involved ships, and benefits vessel traffic management and waterways design for these areas. As a case study, the authors focus on a Traffic Separation Scheme (TSS) off Rotterdam Port in Europe, and using AIS data, statistical analysis is made for collision involved ships. In order to identify the correlation of CPA, which is a key indicator for collision avoidance, with ship's size, speed, and course, linear regression models are developed. To assess risks, a dynamic method based on SAMSON is presented.