Abstract
The widespread application of the Automatic Identification System has had a revolutionary impact on navigation technology. In terms of its impact on a vessel traffic service, it provides rich and real-time data on the vessels, which can be used for identification, tracking, and monitoring of vessels. The Automatic Identification System rapidly accumulates large volumes of data, and these data contain a very large number of implicit maritime traffic rules and characteristics, and thus, effective methods are needed to discover the knowledge contained therein. In this research, data warehouse and online analysis process technologies, which are utilized by ordinary business entities for large-quantity business information analysis, are applied to analyze Automatic Identification System information collected through a vessel traffic service. Automatic Identification System raw data collected in a harbor area are used for analysis and post-processing using the geographic information system and database technology, and the processed data with time and space characteristics are stored in an Automatic Identification System data warehouse. In addition, online analysis process technology, the Geographic Information System, and pivot analysis are utilized to perform rapid multidimensional, meaningful high-level information inquiries, analysis of marine traffic characteristics, and rule discovery in marine traffic. These can be used as references for port development planning, traffic forecasting, navigation safety assessment, and making other policy decisions.
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