학술논문
Maritime Anomaly Detection in a Real-World Scenario: Ever Given Grounding in the Suez Canal
Document Type
Periodical
Source
IEEE Transactions on Intelligent Transportation Systems IEEE Trans. Intell. Transport. Syst. Intelligent Transportation Systems, IEEE Transactions on. 23(8):13904-13910 Aug, 2022
Subject
Language
ISSN
1524-9050
1558-0016
1558-0016
Abstract
In this paper we present how automatic maritime anomaly detection tools can be successfully applied in real-world situations such as the major event of the container vessel Ever Given , which grounded in the Suez Canal on March 23rd 2021. The anomaly detector is designed to process the available sequence of Automatic Identification System (AIS) reports, information from ground-based or satellite radar systems if available, and contextual information defining the expected nominal behavior of navigation. A statistical hypothesis testing procedure is sequentially run to decide whether or not a deviation from the nominal behavior happened within a specific time period, for instance two consecutive data points. We show, based on the recorded AIS data from the Ever Given , that the proposed detector could have been triggered and alerted to anomalous behavior fully 19 minutes before the grounding.