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An empirical ship domain based on evasive maneuver and perceived collision risk

机译:基于避难机动和感知碰撞风险的经验船舶域

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This paper introduced a new ship domain concept and an analytical framework. The ship domain takes the point of the ship's first evasive maneuver as a basis and correlates it with the navigator-perceived collision risk level. The first evasive maneuver of a ship is detected based on the ship turning point identification and ship intention estimation. The available maneuvering margin (AMM) is utilized as a proxy to measure the perceived collision risk by the navigator. Interpreting the first evasive maneuver in terms of this AMM over a large sample of vessel encounters taken from automatic identification system (AIS) data finally enables an empirical estimation of the size of this ship domain. The method is applied to AIS data in the Northern Baltic Sea, and separate ship domains are constructed for the give-way and stand-on vessels with different maneuverability characteristics. Compared to the existing proximity-based ship domain, this ship domain explicitly incorporates the dynamic nature of the encounter process and the navigator's evasive maneuvers. Several advantages of this proposed ship domain concept and limitations of the presented modeling approach are discussed. Finally, possible future applications are explained, including waterway safety assessment and navigational decision support systems to reduce ship-ship collision risk.
机译:本文介绍了一个新的船舶域概念和分析框架。船舶领域将船舶的第一个逃避机动的重点作为基础,并将其与导航员感知的碰撞风险水平相关联。基于船舶转向点识别和船舶意图估计来检测船舶的第一个避免机动。可用的机动边缘(AMM)用作代理,以衡量导航器的感知碰撞风险。在从自动识别系统(AIS)数据中的大容器中,将第一个避免的机动解释在自动识别系统(AIS)数据中最终实现了该船舶域的大小的经验估计。该方法应用于波罗的海北部的AIS数据,并为具有不同机动性特性的露水和架构构建单独的船舶结构域。与现有的基于近距离的船舶域相比,该船舶域明确地融入了遇到过程的动态性质和导航仪的避难所的演习。讨论了这一提出的船舶领域概念的几个优点和所提出的建模方法的局限性。最后,解释了可能的未来申请,包括水路安全评估和导航决策支持系统,以减少船舶碰撞风险。

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