Volume 25 Issue 1
Feb.  2025
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LIU Chang, CAO Lu-fang, YANG Yu-lu, LIN Bin, ZHANG Shi-ze. Ship trajectory compression method based on time ratio-speed-heading[J]. Journal of Traffic and Transportation Engineering, 2025, 25(1): 172-183. doi: 10.19818/j.cnki.1671-1637.2025.01.012
Citation: LIU Chang, CAO Lu-fang, YANG Yu-lu, LIN Bin, ZHANG Shi-ze. Ship trajectory compression method based on time ratio-speed-heading[J]. Journal of Traffic and Transportation Engineering, 2025, 25(1): 172-183. doi: 10.19818/j.cnki.1671-1637.2025.01.012

Ship trajectory compression method based on time ratio-speed-heading

doi: 10.19818/j.cnki.1671-1637.2025.01.012
Funds:

National Natural Science Foundation of China 51939001

National Natural Science Foundation of China 62371085

Fundamental Research Funds for the Central Universities 3132023514

University Basic Scientific Research Project of Liaoning Provincial Department of Education LJ212410151022

University Basic Scientific Research Project of Liaoning Provincial Department of Education LJ212410151026

More Information
  • Corresponding author: LIU Chang(1976-), female, associate professor, PhD, liuchang@dlmu.edu.cn
  • Received Date: 2024-01-10
  • Publish Date: 2025-02-25
  • By considering that the ship trajectory contains information such as time, position, speed, and heading, a ship trajectory compression method considering the spatiotemporal motion characteristics was proposed. For the ground speed and ground heading in the automatic identification system (AIS) data of ships, the speed-based (SP) and the heading-based (HD) compression algorithms were proposed to extract the trajectory motion data. To retain the time information and spatial data, the time-ratio (TR) algorithm was introduced. By integrating these three types of algorithms, the time ratio-speed-heading (TSH) compression algorithm was proposed, and the parameters of the TSH algorithm were adaptively determined according to the compression rate and length loss rate. To verify the effectiveness of proposed method, the AIS data of Weihai, Laotieshan, and Yangtze River waters were used as research objects and compared with the Douglas-Peucker (DP) algorithm and the improved DP algorithm. Experimental results show that the characteristic points of the ship trajectory can be more finely extracted by the TSH algorithm, thereby retaining the spatiotemporal and motion behavior. Among them, the single trajectory compression results show that the Hausdorff distance between the trajectories compressed by the TSH algorithm and the original trajectory is 1.6 and 1.1 times lower than those of the DP algorithm and the improved DP algorithm, respectively, and the multi-attribute symmetric segmentation path distance (MSSPD) is 1.9 times lower than that of the improved DP algorithm, which better retains the original characteristics of the ship trajectory. The overall trajectory compression results show that for Weihai, Laotieshan, and Yangtze River waters, the TSH algorithm is 2.1, 2.2, and 1.7 times lower than the DP algorithm in the Hausdorff distance and 1.4, 1.5, and 1.1 times lower than the improved DP algorithm, respectively. In the MSSPD index, it is 1.3, 1.1, and 1.2 times lower than the improved DP algorithm, respectively, which further proves the effectiveness of the TSH compression algorithm in retaining the ship navigation behavior. It is verified that the proposed TSH algorithm shows better trajectory reconstruction ability at a higher compression rate.

     

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