Near-Field Route Optimization-Supported Polar Ice Navigation via Maritime Radar Videos

The accurate design of ship routing plans in arctic areas is not easy, considering that navigation conditions (e.g., weather, visibility, and ice thickness) may change frequently. A ship’s crew identifies sea ice in arctic channels with the help of radar echoes, and ship maneuvering decisions are ma...

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Bibliographic Details
Published in:Journal of advanced transportation 2021, Vol.2021, p.1-15
Main Authors: Lin, Xinwei, Wang, Shengzheng, Zhang, Xuesheng, Hsieh, Tsung-Hsuan, Sun, Zhen, Xu, Tingliu
Format: Article
Language:English
Subjects:
Antennas
Arctic zone
Channels
Energy consumption
Genetic algorithms
Ice cover
Ice thickness
Navigation
Near fields
Optimization
Planning
Radar
Radar echoes
Radar imaging
Radar systems
Route optimization
Route selection
Sea ice
Transportation
Visibility
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Summary:The accurate design of ship routing plans in arctic areas is not easy, considering that navigation conditions (e.g., weather, visibility, and ice thickness) may change frequently. A ship’s crew identifies sea ice in arctic channels with the help of radar echoes, and ship maneuvering decisions are made to avoid navigation interference. Ship officials must manually and consistently change the ship’s route of travel, which is time-consuming and tedious. To address this issue, we propose a near-field route optimization model for the purpose of automatically selecting an optimal route with the help of radar echo images. The ship near-field route optimization model uses a multiobjective optimal strategy considering factors of minimum navigation risk and steaming distance. We verified the model’s performance with the support of the Xuelong voyage dataset. This research finding can help a ship’s crew to design more reasonable navigation routes in polar channels.
ISSN:0197-6729
2042-3195
DOI:10.1155/2021/2798351