Maritime Anomaly Detection for Vessel Traffic Services: A Survey
Open Access
- 3 June 2023
- journal article
- review article
- Published by MDPI AG in Journal of Marine Science and Engineering
- Vol. 11 (6), 1174
- https://doi.org/10.3390/jmse11061174
Abstract
A Vessel Traffic Service (VTS) plays a central role in maritime traffic safety. Regulations are given by the International Maritime Organization (IMO) and Guidelines by the International Association of Marine Aids to Navigation and Lighthouse Authorities (IALA). Accordingly, VTS facilities utilize communication and sensor technologies such as an Automatic Identification System (AIS), radar, radio communication and others. Furthermore, VTS operators are motivated to apply Decision Support Tools (DST), since these can reduce workloads and increase safety. A promising type of DST is anomaly detection. This survey presents an overview of state-of-the-art approaches of anomaly detection for the surveillance of maritime traffic. The approaches are characterized in the context of VTS and, thus, most notably, sorted according to utilized communication and sensor technologies, addressed anomaly types and underlying detection techniques. On this basis, current trends as well as open research questions are deduced.This publication has 67 references indexed in Scilit:
- Exploiting AIS Data for Intelligent Maritime Navigation: A Comprehensive Survey From Data to MethodologyIEEE Transactions on Intelligent Transportation Systems, 2017
- A novel anomaly detection approach to identify intentional AIS on-off switchingExpert Systems with Applications, 2017
- Finding Abnormal Vessel Trajectories Using Feature LearningIEEE Access, 2017
- Study of Automatic Anomalous Behaviour Detection Techniques for Maritime VesselsJournal of Navigation, 2017
- Maritime anomaly detection in ferry tracksPublished by Institute of Electrical and Electronics Engineers (IEEE) ,2017
- Maritime Anomaly Detection within Coastal Waters Based on Vessel Trajectory Clustering and Naïve Bayes ClassifierJournal of Navigation, 2017
- Four routes to better maritime governanceNature, 2016
- Online event recognition from moving vessel trajectoriesGeoInformatica, 2016
- Maritime anomaly detection and threat assessmentPublished by Institute of Electrical and Electronics Engineers (IEEE) ,2010
- Anomaly detectionACM Computing Surveys, 2009