A Design for AIS Data Warehouse of Traffic Flow

被引：0

作者：

Tang, Cunbao ^{[1
,2
]}

Wang, Hongbo ^{[2
]}

Liu, Jingxian ^{[2
]}

Liu, Chuanrun ^{[1
]}

机构：

[1] Guangzhou Maritime Univ, Sch Nav, Guangzhou, Guangdong, Peoples R China

[2] Wuhan Univ Technol, Sch Nav, Wuhan, Hubei, Peoples R China

来源：

2017 4TH INTERNATIONAL CONFERENCE ON TRANSPORTATION INFORMATION AND SAFETY (ICTIS) | 2017年

基金：

中国国家自然科学基金;

关键词：

AIS; traffic flow; data warehouse; multidimensional design;

D O I：

暂无

中图分类号：

TM [电工技术]; TN [电子技术、通信技术];

学科分类号：

0808 ; 0809 ;

摘要：

AIS information has obvious characteristics of large data and is one of best sources to describe vessel traffic flow. The choice of types of data storage systems is critical for AIS data. AIS database holds inherent deficiencies in data mining of vessel traffic flow, spending much time on data pre-processing, low executing efficiency and thus greatly increasing server loads. However, AIS data warehouse would provide important and direct support for this mining. The study, first, concludes the primary characteristics of a data warehouse of traffic flow, and the relationship with AIS database, then discusses the mining demands, finally, a star schema is adopted for the multi-dimensioned design. This design would lay fundamentals for the setup of data warehouse and the mining of potential patterns of traffic flow.

引用

页码：895 / 898

页数：4

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