AIS數(shù)據(jù)在航海模擬器交互訓練中的應用
發(fā)布時間:2018-11-14 19:07
【摘要】:通過對新加坡海峽內航行船舶的AIS歷史數(shù)據(jù)進行統(tǒng)計,提出一種元胞自動機的船舶交互仿真模型,應用于新加坡海峽各航段的交通流的交互狀況進行模擬。并采用蒙特卡洛隨機事件,結合新加坡海峽AIS歷史數(shù)據(jù)按照統(tǒng)計學原理生成不同類型、不同航行速度的船舶,提取船舶駕駛員在不同航行環(huán)境下采取的避讓措施。對海員在狹水道和繁忙水域的船舶交互避讓提供參考依據(jù),同時也對提高模擬器訓練與航海實踐的仿真度具有重要意義。
[Abstract]:Based on the statistics of the AIS historical data of ships navigating in the Singapore Strait, a cellular automata model of ship interaction simulation is proposed, which is applied to simulate the interaction of traffic flow in various sections of the Singapore Strait. Monte Carlo random events and AIS historical data of Singapore Strait are used to generate different types of ships with different navigation speeds according to the statistical principle. The measures taken by ship pilots in different navigation environments are extracted. It provides a reference for seafarers to avoid ship interaction in narrow waterways and busy waters, and it is also of great significance to improve the simulation degree of simulator training and navigation practice.
【作者單位】: 大連海事大學航海學院;
【基金】:山東省海事局調查專家技術服務資助項目(80815007-92) 馬六甲新加坡海峽航行安全風險研究資助項目(891306)
【分類號】:U666.158
[Abstract]:Based on the statistics of the AIS historical data of ships navigating in the Singapore Strait, a cellular automata model of ship interaction simulation is proposed, which is applied to simulate the interaction of traffic flow in various sections of the Singapore Strait. Monte Carlo random events and AIS historical data of Singapore Strait are used to generate different types of ships with different navigation speeds according to the statistical principle. The measures taken by ship pilots in different navigation environments are extracted. It provides a reference for seafarers to avoid ship interaction in narrow waterways and busy waters, and it is also of great significance to improve the simulation degree of simulator training and navigation practice.
【作者單位】: 大連海事大學航海學院;
【基金】:山東省海事局調查專家技術服務資助項目(80815007-92) 馬六甲新加坡海峽航行安全風險研究資助項目(891306)
【分類號】:U666.158
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