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

• Published in: Journal of Advanced Transportation
• Main Authors: Xinwei Lin, Shengzheng Wang, Xuesheng Zhang, Tsung-Hsuan Hsieh, Zhen Sun, Tingliu Xu
• Format: Article in Journal/Newspaper
• Language: English
• Published: Wiley 2021
• Subjects: Transportation engineering; TA1001-1280; Transportation and communications; HE1-9990; Sea ice
• Online Access: https://doi.org/10.1155/2021/2798351; https://doaj.org/article/4ceaed98721e4f99bae8929974d10953

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.