期刊
JOURNAL OF MARINE SCIENCE AND ENGINEERING
卷 9, 期 4, 页码 -出版社
MDPI
DOI: 10.3390/jmse9040428
关键词
ship collision; collision risk; velocity obstacle; AIS; maritime safety
资金
- China Scholarship Council [201606950005]
This research developed a new ship collision risk analysis method using AIS data, applying a velocity obstacle-based risk measurement to assess collision risk and encounter complexity, and using a density-based clustering technique to identify hotspots of ship traffic, serving as an indicator for maritime safety operators.
Maritime accidents such as ship collisions pose continuous risks to individuals and society with due to their severe consequences on human life, economic and environmental losses, etc. Supervising the maritime traffic in the different regions and maintaining its safety level is an essential task for stakeholders such as maritime safety administrations. In this research, a new ship collision risk analysis method is developed with the utilisation of AIS (Automatic Identification System) data. A velocity obstacle-based risk measurement is applied to measure the risk of collision between multiple ships from the velocity perspective, based on which, the collision risk and the complexity of the encounter situation are obtained at the same time. Secondly, a density-based clustering technique is introduced to identify the hotspots of ship traffic in the region as an indicator for maritime safety operators. A case study using historical AIS data was implemented to verify the effectiveness of the proposed approach in a manner that simulates the real-time data scenario. Furthermore, a comparison between existing risk analysis method is conducted to validate the proposed method.
作者
我是这篇论文的作者
点击您的名字以认领此论文并将其添加到您的个人资料中。
推荐
暂无数据