A Dynamics-Constrained Rapid Path-Planning Method for Shipping in Arctic Waters
Paper in proceeding, 2024

The challenge of Arctic sea ice environments is crucial for Arctic shipping. To address this concern, we propose an innovative method for ship path planning to enhance navigation safety and efficiency in Arctic waters. Firstly, a 3D risk grid map for path planning is developed based on POLARIS. The JPS algorithm searches for key nodes on the 2D layers sliced from the 3D risk grid map with given risk values. Secondly, key nodes indicating different risk values are pruned to form a roadmap for path-finding. Then, the Dijkstra algorithm is employed to find the reference path yielding the lowest navigation risk from the roadmap. Finally, the ship's trajectory is optimized through optimal control to guarantee the ship's maneuver feasibility. Experiments are carried out to demonstrate the performance of the optimized trajectory, and the outcomes validate the proposed method, demonstrating its capability of rapidly planning safe and executable paths for Arctic shipping.

Arctic shipping

path-planning

ship dynamics

POLARIS

Dijkstra

optimal control

Jump Point Search

Author

Youguo Sun

Wuhan University of Technology

Da Wu

Wuhan University of Technology

Jinfen Zhang

Wuhan University of Technology

Xiao Lang

Chalmers, Mechanics and Maritime Sciences (M2), Fluid Dynamics

Jonas Ringsberg

Chalmers, Mechanics and Maritime Sciences (M2), Marine Technology

Wengang Mao

Chalmers, Mechanics and Maritime Sciences (M2), Marine Technology

Meng Cui

Marine Design and Research Institute of China

Proceedings of the International Offshore and Polar Engineering Conference

10986189 (ISSN) 15551792 (eISSN)

Vol. 1 2135-2140
9781880653784 (ISBN)

The 34th International Ocean and Polar Engineering Conference, ISOPE 2024
Rhodes, Greece,

Explore innovative solutions for arctic shipping

The Swedish Foundation for International Cooperation in Research and Higher Education (STINT) (Dnr:CH2016-6673), 2017-05-01 -- 2020-06-30.

Areas of Advance

Information and Communication Technology

Transport

Driving Forces

Sustainable development

Subject Categories

Applied Mechanics

Vehicle Engineering

Robotics

More information

Latest update

8/15/2024