Collision risk assessment for large LNG ship entering port

Due to the inherently hazardous nature of liquefied natural gas (LNG), preventing collision involving LNG ship is crucial for ensuring navigation safety. This paper considers LNG ship as own ship and employs the Nonlinear Velocity Obstacle (NLVO) algorithm to assess the collision risk during entering port. The evaluation metrics utilized in this study include the ship domain and safety zone, which serve as indicators of collision risk. In contrast to traditional methods, NLVO accommodates nonlinear velocity and course variations of target ship. A scenario has been designed to illustrate the efficacy of the NLVO algorithm, with results indicating that this approach can effectively evaluate collision risk and provide actionable decisions for pilots.

Authors

Institutions

Publication Details

Journal
IET conference proceedings.
Published
2025-03-01
DOI
https://doi.org/10.1049/icp.2025.0547
Primary Topic
Maritime Navigation and Safety
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Collision risk assessment for large LNG ship entering port

Jinsheng Xiao, Yixin Wu, Wei Mi, Yong Ma
IET conference proceedings.
Maritime Navigation and Safety
article

Collision risk assessment for large LNG ship entering port

Jinsheng Xiao, Yixin Wu, Wei Mi, Yong Ma
article en

Abstract

Due to the inherently hazardous nature of liquefied natural gas (LNG), preventing collision involving LNG ship is crucial for ensuring navigation safety. This paper considers LNG ship as own ship and employs the Nonlinear Velocity Obstacle (NLVO) algorithm to assess the collision risk during entering port. The evaluation metrics utilized in this study include the ship domain and safety zone, which serve as indicators of collision risk. In contrast to traditional methods, NLVO accommodates nonlinear velocity and course variations of target ship. A scenario has been designed to illustrate the efficacy of the NLVO algorithm, with results indicating that this approach can effectively evaluate collision risk and provide actionable decisions for pilots.

IET conference proceedings.Vol. 2024(35)
Wuhan University of Technology (CN)
Climate action
Openalex Percentile: Top 92%
Maritime Navigation and Safety
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.