Research on Vessel Trajectory Multi-Dimensional Compression Algorithm Based on Douglas-Peucker Theory

Currently, maritime safety administrations or shipping company had received a large number of vessel trajectory data from Automatic Identification System (AIS). In order to more efficiently carry out research of maritime traffic flow, ship behavior and maritime investigation, it is important to ensu...

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Vydáno v:Applied Mechanics and Materials Ročník 694; číslo Engineering and Technological Solutions for Sustainable Development; s. 59 - 62
Hlavní autoři: Miao, Li Ming, Liu, Wen, Zhu, Fei Xiang
Médium: Journal Article
Jazyk:angličtina
Vydáno: Zurich Trans Tech Publications Ltd 01.11.2014
Témata:
Algorithms
Compressing
Data compression
Maritime
Navigation
Offsets
Trajectories
Vessels
Automatic Identification System (AIS)
Vessel Trajectory
Douglas-Peucker (DP) Algorithm
Vector Data Compression
ISBN:3038353310, 9783038353317
ISSN:1660-9336, 1662-7482, 1662-7482
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Shrnutí:Currently, maritime safety administrations or shipping company had received a large number of vessel trajectory data from Automatic Identification System (AIS). In order to more efficiently carry out research of maritime traffic flow, ship behavior and maritime investigation, it is important to ensure the quality of the vessel trajectory data under compression condition. In classic Douglas-Peucker vector data compression algorithm, offset spatial distance of each point was the single factor in compression process. In order to overcome the shortcomings of classic Douglas-Peucker, a vessel trajectory multi-dimensional compression improved algorithm is proposed. In improved algorithm, the concept of single trajectory point importance which considers the point offset distance and other vessel handling factors, such as the vessel turning angle, speed variation, is proposed to as the compression index. Compared to classic Douglas-Peucker algorithm, experiment results show that the proposed multi-dimensional vessel trajectory compression improved algorithms can effectively retain characteristics of navigation.
Bibliografie:Selected, peer reviewed papers from the 2014 International Conference on Green Transport, Renewable Energy and Environment (ICGTREE 2014), August 23-24, 2014, Tianjin, China
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ISBN:3038353310
9783038353317
ISSN:1660-9336
1662-7482
1662-7482
DOI:10.4028/www.scientific.net/AMM.694.59