Research of Methods of Collision Warning and Avoidance Assistant Decision Making for the Ship in Typical Inland TSS Waters
Publication: ASCE-ASME Journal of Risk and Uncertainty in Engineering Systems, Part A: Civil Engineering
Volume 10, Issue 2
Abstract
Inland ship collisions in traffic separation scheme (TSS) water usually cause serious consequences. Research on ship collision risk early warning and collision avoidance assistant decision making can reduce the possibility of collision accidents caused by humans and reduce collision accidents and provide a basis for ships’ autonomous collision avoidance decisions. A digital traffic environment model for the typical inland TSS waters is constructed as the basis of navigation warning and decision making. A collision risk warning framework, which takes the intention of collision avoidance for the target ship into account, is established based on the dead reckoning and domain of the ship under TSS waterway constraints. In addition, a ship nonlinear maneuvering process deduction-based dynamic adaptive collision avoidance decision method is proposed under the premise of satisfying the Regulation of the People’s Republic of China on Inland River Collision Avoidance and good seamanship. The simulation experiments proved that the research could realize dynamic collision risk warnings under different encounter situations and provide effective assistant collision avoidance decisions in typical inland TSS waters.
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Data Availability Statement
The data, models, and codes that support the findings of this study are available from the corresponding author upon reasonable request.
We understand the importance of data sharing and transparency in scientific research. Therefore, we are committed to making the data, models, and codes used in this study accessible to other researchers, subject to reasonable requests. By providing access to these resources, we aim to facilitate the replication, verification, and further exploration of our research findings.
To obtain the data, models, or codes, interested researchers can contact the corresponding author. Requests will be considered on a case-by-case basis, taking into account any legal, ethical, or confidentiality restrictions that may apply.
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Published In
ASCE-ASME Journal of Risk and Uncertainty in Engineering Systems, Part A: Civil Engineering
Volume 10 • Issue 2 • June 2024
Copyright
© 2024 American Society of Civil Engineers.
History
Received: Jun 28, 2023
Accepted: Nov 27, 2023
Published online: Mar 25, 2024
Published in print: Jun 1, 2024
Discussion open until: Aug 25, 2024
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