Title :
Denoising Method of Inland AIS Information Based on Vessel Track
Author :
Zhang Wen-juan ; Wu Qing ; Sang Ling-zhi ; Mao Zhe
Author_Institution :
Sch. of Logistics Eng., Wuhan Univ. of Technol., Wuhan, China
Abstract :
Through the analysis of vessel track, the characteristics of traffic flow can be well obtained, and waterway traffic safety can be ensured. In order to restore inland water vessel track which is more consistent with real one, noise in the AIS information is supposed to be removed. This paper presents a denoising method of inland vessel track which consists of three basic steps. Firstly, the points outside the valid range of latitude and longitude are roughly removed. Secondly, the points significantly deviating from the normal course are removed according to vessel´s speed. Lastly, the points show non-smooth turn in the track are removed according to course over ground(COG). And the effectiveness of the method have been verified on the VC++6.0 platform.
Keywords :
C++ language; radionavigation; ships; visual programming; COG; VC++6.0 platform; course over ground; denoising method; inland AIS information; inland water vessel track; nonsmooth track turn; waterway traffic safety; Educational institutions; Marine vehicles; Noise; Noise reduction; Rivers; Safety; Transportation; Automatic Identification System; denoising; inland river; vessel track;
Conference_Titel :
Distributed Computing and Applications to Business, Engineering & Science (DCABES), 2012 11th International Symposium on
Conference_Location :
Guilin
Print_ISBN :
978-1-4673-2630-8
DOI :
10.1109/DCABES.2012.99
