Method for vessel traffic pattern recognition via data quality control and data compression

US12057019B2 · kind B2 · utility

Inventors

• Xinqiang Chen · Shanghai, CN
• Qiuying Wang · Shanghai, CN
• Yongsheng Yang · Mengzi, CN
• Bing Han · Shanghai, CN
• Zhongdai Wu · Shanghai, CN
• Huafeng WU · Shanghai, CN
• Yang Sun · Hangzhou City, CN
• Chaofeng Li · Beijing, CN
• Jiangfeng XIAN · Shanghai, CN
• Wei Liu · Shanghai, CN

Key dates

• Filing date: Oct 30, 2022
• Grant date: Aug 6, 2024
• Expiry date: Nov 24, 2042

Classification

• Technology area (CPC G): Physics
• CPC primary: G08G3/00
• WIPO field: Control
• WIPO sector: Instruments

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.