Vessel Trajectory Reconstruction Based on Functional Data Analysis Using Automatic Identification System Data
Source abstract
Abstract
This study provides an automatic shipping-route construction method using functional data analysis (FDA), which analyzes information about curves, such as multiple data points over time. The proposed approach includes two steps: outlier detection and shipping-route construction. This study uses automatic-identification system (AIS) data for the experiments. The effectiveness of the proposed method is demonstrated through case studies, wherein our approach is compared with the Mahalanobis distance method for trajectory-outlier detection, and the performance of vessel trajectory reconstruction is compared with that of a density-based approach. The proposed method improves understanding of vessel-movement dynamics, thereby improving maritime monitoring and security.
Source: crossref · Quality: baseline
Research context
OpenAlex topics: Maritime Navigation and Safety · Maritime and Coastal Archaeology · Structural Integrity and Reliability Analysis
SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.
Affiliations
Department of Civil Engineering, Chosun University, Gwangju 61452, Korea
Center for Built Environment (CBE), Sungkyunkwan University, Suwon-si 16419, Gyeonggi-do, Korea
Department of Civil Engineering, Kangwon National University, Chuncheon-si 24341, Korea
Funding
National Research Foundation of Korea
References (24)
Show source-provided references
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