基于AIS数据的船舶异常行为检测方法基于AIS数据的船舶异常行为检测方法.pdf

Artificial Intelligence and Robotics Research 人工智能与机器人研究, 2015, 4(4), 23-31 Published Online November 2015 in Hans. /journal/airr /10.12677/airr.2015.44004 Abnormal Vessel Behavior Detection Based on AIS Data 1 2 Shubo Zhang , Qiangrong Tang 1 Department of Computer Science, Guangzhou Marine Institute, Guangzhou Guangdong 2 Department of Shipping, Guangzhou Marine Institute, Guangzhou Guangdong th th th Received: Oct. 19 , 2015; accepted: Nov. 6 , 2015; published: Nov. 9 , 2015 Copyright © 2015 by authors and Hans Publishers Inc. This work is licensed under the Creative Commons Attribution International License (CC BY). /licenses/by/4.0/ Abstract Maritime behavior detection is critical for maritime surveillance and management. It is important for ship’s safe sailing, normal production at ports, marine environmental protection, water illegal activities prevention and so on. With more and more AIS systems are installed on board, massive amounts of AIS data have been accumulated, which provides us with promising ways to investigate the law of ship motions and the detection of abnormal behaviours. In this paper, various algo- rithms used for detecting abnormal behaviours of ship are reviewed and commented, and the challenge of researchers in this field faced is then pointed out, in the end, the perspectives in this realm are also proposed. Keywords AIS Data, Abnormal Behavior, Vessel Trajectory, Behavioral Modeling, Anomaly Detection 基于AIS数据的船舶异常行为检测方法 1 2 张树波 ，唐强荣 1广州航海学院计算机系，广东 广州 2广州航海学院海运系，广东 广州 收稿日期：2015年10月19 日；录用日期：2015年11月6 日；发布日期