Abstract

A maritime route is used by sea transportation vessels to access the trading ports, and route design standards for the safety of maritime traffic have been established in various countries and organizations. However, no quantitative safety verification method related to route design currently exists. In this study, a novel maritime route was created and compared with the original route in Incheon, the Republic of Korea, based on the relevant automatic identification system (AIS) data. The attendant traffic density was revealed via kernel density estimation analysis of the AIS data, with the results used to create the boundary of the novel route through an image processing technique. The boundary and the centerline of the maritime route were determined using a line smoothing technique. For safety verification, the centerline of the original route and that of the novel maritime route were compared in terms of sinuosity, intersection angle, and route change envelope (RCE). The sinuosity analysis demonstrated that the route was stable in terms of the outer harbor limit, while the intersection angle analysis demonstrated that the novel maritime route intersection angle was stable. The RCE was used to objectively compare the absolute values of the distance change in the centerline.

Highlights

  • The shipping industry has witnessed rapid growth in the last three decades because of a significant increase in transportation demands [1]

  • This study was based on the analysis of objects using roads and routes, as in the reference article, but performed a novel maritime route extraction based on the geographic information system (GIS)

  • kernel density estimation (KDE) analysis was applied in terms of automatic identification system (AIS) data density analysis, with the results undergoing binarization and boundary extraction using an image processing technique

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Summary

Introduction

The shipping industry has witnessed rapid growth in the last three decades because of a significant increase in transportation demands [1]. In terms of marine networks, the route was extracted with reference to an existing study [14], where the maritime road network was extracted using the automatic identification system (AIS) data. This study was based on the analysis of objects using roads and routes, as in the reference article, but performed a novel maritime route extraction based on the geographic information system (GIS). The GIS and the actual data are used to analyze the relationship between ship accidents considering various ship characteristics [16]. This serves as the basic data to select the optimal route for MASS (Maritime Autonomous Surface Ship) through AIS data collection and processing [17]. The final result is analyzed in terms of sinuosity, intersection angle, and route change envelope (RCE), with a focus on the safety verification of the existing routes

Analysis Area
50 Nautical Miles
Image Processing
Line Smoothing and Centerline Extraction
Method Represent
Verification of RCE
Findings
Conclusions
Full Text
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