基于时空特征的AIS轨迹数据压缩算法

s the international trade becomes more and more frequent, the scale of shipping, as one of the means of transportation, is also expanding. In order to facilitate the monitoring of ships and maritime traffic scheduling, more and more ships are installed with automatic identification system (AIS), The mining and analysis based on AIS data has gradually become a hot spot, and the driving trajectory analysis is a very important part of it. In order to reduce the space occupation of trajectory data and improve the analysis efficiency, it is necessary to compress the trajectory to reduce the redundant information. Aiming at the problem that the current mainstream trajectory compression algorithms need to try different thresholds for repeated experiments to get a better compression effect, this paper proposes an AIS trajectory data compression algorithm based on temporal and spatial characteristics, which achieves better trajectory compression effect without artificial threshold setting, and can save a lot of trial and error time cost, at the same time, the average error rate of the trajectory is higher It can be close to the effect of the current mainstream trajectory compression algorithm in terms of error and compression ratio.