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Marine Collision Avoidance Route Planning Model for MASS Based on Domain-Based Predicted Area of Danger

Chao-Wei Lu; Chao-Kuang Hsueh; Yung-Lin Chuang; Ching-Ming Lai; Fuh-Shyong Yang
Journal of Marine Science and Engineering · Vol. 11, Issue 9 · pp. 1724 · 2023

Abstract

When the own ship encounters target ships in a close-quarter situation, an officer on watch needs to safely and timely alter the course of the vessel to avoid a collision. If ECDIS can automatically collect the navigation parameters and plot areas of collision as quasi-static obstruction areas, it will be much easier for seafarers to implement effective route planning. Hence, this study focuses on developing the MCARP model as a theoretical concept based on the DPAD model and LCD model. By operating the MCARP using ArcGIS, DPADs and several effective collision avoidance routes can be generated and imported into ECDIS based on AIS information at large scales and ample time. The graphic overlay of DPADs and effective routes on ECDIS can serve as a collision avoidance strategy reference for the personnel controlling maritime autonomous surface ships. Finally, different ships encountering situations were input into a Transas navigational simulator. The simulation results showed that own ship could avoid collisions with multiple target ships at distances larger than the preset collision avoidance distances, which also indicated that MCARP is practically feasible.

Bibliographic Information

JournalJournal of Marine Science and Engineering
PublisherMDPI
Publication Date2023-09-01
Publication Year2023
Volume11
Issue9
Pages1724
Document TypeJournal Article
eISSN2077-1312
DOI10.3390/jmse11091724
SubjectMarine science; oceanography; marine engineering; coastal science; marine environment

Access Information

NARA Access CoverageOA / free full text
Journal Homepagehttps://www.mdpi.com/journal/jmse
Publisher PageOpen Publisher Page
This article is openly available from the publisher.