摘要
首先阐述船舶交通流特征主要分为微观特征和宏观特征;然后运用大数据进行船舶交通流特征统计的具体过程,对其实现过程进行推理;最后通过青岛港的实际采集到的数据进行实例分析,说明本文算法在船舶交通特征统计方面的优越性。
In this paper, firstly, the characteristics of ship traffic circulation were mainly divided into microscopic and macroscopic characteristics. Then the paper described the process of using the large data to calculate the traffic flow characteristics, which included data processing, data fitting, fitting optimization test and determine the optimal mathematical model,etc.. Finally, the actual data collected in Qingdao port was analyzed.
出处
《舰船科学技术》
北大核心
2017年第4X期127-129,共3页
Ship Science and Technology
关键词
船舶交通特征
大数据挖掘
数据拟合
ship traffic characteristics
large data mining
data fitting
