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

Author:

Lu Chao-Wei1234ORCID,Hsueh Chao-Kuang4,Chuang Yung-Lin4ORCID,Lai Ching-Ming135ORCID,Yang Fuh-Shyong3

Affiliation:

1. Intelligent Transportation Development Center, National Chung Hsing University, No. 145, Xingda Rd., South District, Taichung City 402, Taiwan

2. Management School, The University of Sheffield, Conduit Road, Sheffield S10 1FL, UK

3. Institute of Transportation and Communication Management Science, National Cheng Kung University, No. 1, Daxue Rd., East District, Tainan City 701, Taiwan

4. Department of Merchant Marine, National Taiwan Ocean University, No. 2, Beining Rd., Zhongzheng District, Keelung City 20224, Taiwan

5. Department of Electrical Engineering, National Chung Hsing University, No. 250, Guoguang Rd., South District, Taichung City 40227, Taiwan

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.

Funder

National Science and Technology Council

Publisher

MDPI AG

Subject

Ocean Engineering,Water Science and Technology,Civil and Structural Engineering

Reference33 articles.

1. EMSA (Incident, 2023). European Maritime Safety Agency: Annual Overview of Marine Casualties and Incidents 2022, Incident.

2. Human error in marine accidents: Is the crew normally to blame?;Machado;Marit. Transp. Res.,2021

3. Maritime traffic monitoring based on vessel detection, tracking, state estimation, and trajectory prediction;Perera;IEEE Trans. Intell. Transp. Syst.,2012

4. Weintrit, A. (2009). The Electronic Chart Display and Information System (ECDIS): An Operational Handbook, CRC Press.

5. Study on collision avoidance in busy waterways by using AIS data;Mou;Ocean. Eng.,2010

Cited by 1 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. An Improved NSGA-II Algorithm for MASS Autonomous Collision Avoidance under COLREGs;Journal of Marine Science and Engineering;2024-07-20

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