The patent badge is an abbreviated version of the USPTO patent document. The patent badge does contain a link to the full patent document.

The patent badge is an abbreviated version of the USPTO patent document. The patent badge covers the following: Patent number, Date patent was issued, Date patent was filed, Title of the patent, Applicant, Inventor, Assignee, Attorney firm, Primary examiner, Assistant examiner, CPCs, and Abstract. The patent badge does contain a link to the full patent document (in Adobe Acrobat format, aka pdf). To download or print any patent click here.

Date of Patent:
Aug. 06, 2024

Filed:

Oct. 30, 2022
Applicants:

Shanghai Maritime University, Shanghai, CN;

Shanghai Ship and Shipping Research Institute, Shanghai, CN;

Inventors:

Xinqiang Chen, Shanghai, CN;

Qiuying Wang, Shanghai, CN;

Yongsheng Yang, Shanghai, CN;

Bing Han, Shanghai, CN;

Zhongdai Wu, Shanghai, CN;

Huafeng Wu, Shanghai, CN;

Yang Sun, Shanghai, CN;

Chaofeng Li, Shanghai, CN;

Jiangfeng Xian, Shanghai, CN;

Wei Liu, Shanghai, CN;

Assignee:
Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G08G 3/02 (2006.01);
U.S. Cl.
CPC ...
G08G 3/02 (2013.01);
Abstract

The present invention provides a vessel traffic pattern identification method via data quality control and data compression, and includes the steps of assorting a collection of Automatic Identification System (AIS) data points according to Maritime Mobile Service Identity (MMSI) code; sorting each collection result by time ascending order; deleting duplicated vessel AIS data points considering time stamp, latitude, longitude and vessel speed over ground; segmenting vessel trajectories; obtaining high-quality AIS data with an AIS data anomaly detection; repairing and compressing each vessel trajectory with the Douglas-Peucker algorithm; clustering vessel trajectories with the Quick Bundles algorithm; and identifying a maritime traffic pattern. The invention can efficiently identify vessel traffic patterns and help maritime traffic management departments to accurately identify a traffic situation.


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