摘要
通过对新加坡海峡内航行船舶的AIS历史数据进行统计,提出一种元胞自动机的船舶交互仿真模型,应用于新加坡海峡各航段的交通流的交互状况进行模拟。并采用蒙特卡洛随机事件,结合新加坡海峡AIS历史数据按照统计学原理生成不同类型、不同航行速度的船舶,提取船舶驾驶员在不同航行环境下采取的避让措施。对海员在狭水道和繁忙水域的船舶交互避让提供参考依据,同时也对提高模拟器训练与航海实践的仿真度具有重要意义。
By collecting and counting the AIS historical data in Singapore's strait. In this paper, a cellular automata of interactive simulation model has been established and applied to the traffic flow situations in each segment of the Singapore strait. Using Monte Carlo random events, and combining with the AIS history data to generate the ships of different type,speed and destination, and then extracting the avoiding collision action which has been taken by captain or OOW(ship officer on watch) in different navigation environment. The study provide a reference basis for seafarers who are navigating in the narrow waterway or busy waters. At the same time it improved the simulation precision between the simulator training with the navigation practice.
出处
《舰船科学技术》
北大核心
2016年第S1期221-225,共5页
Ship Science and Technology
基金
山东省海事局调查专家技术服务资助项目(80815007-92)
马六甲新加坡海峡航行安全风险研究资助项目(891306)
关键词
新加坡海峡
AIS数据
元胞自动机模型
蒙特卡洛随机事件
模拟器交互训练
singapore's strait
AIS data
cellular automata model
Monte Carlo random events
navigation simulat or interactive training