Path planning for ships assisted by the icebreaker in ice-covered waters in the Northern Sea Route based on optimal control

被引:105
作者
Shu, Yaqing [1 ]
Zhu, Yujie [1 ]
Xu, Feng [2 ]
Gan, Langxiong [1 ]
Lee, Paul Tae-Woo [3 ]
Yin, Jianchuan [4 ]
Chen, Jihong [5 ,6 ]
机构
[1] Wuhan Univ Technol, Sch Nav, Wuhan, Peoples R China
[2] Wuhan Second Ship Design & Res Inst, Wuhan, Peoples R China
[3] Zhejiang Univ, Ocean Coll, Zhoushan, Peoples R China
[4] Guangdong Ocean Univ, Maritime Coll, Zhanjiang, Peoples R China
[5] Shenzhen Univ, Coll Management, Shenzhen, Peoples R China
[6] Shenzhen Int Maritime Inst, Shenzhen, Peoples R China
基金
中国国家自然科学基金;
关键词
Ship path planning; Northern Sea Route (NSR); Ice-covered water; Optimal control; Multi-objective optimization; RISK-ASSESSMENT; CONVOY OPERATIONS; MODEL; PERFORMANCE; PREDICTION; EUROPE; CHOICE; ESCORT;
D O I
10.1016/j.oceaneng.2022.113182
中图分类号
U6 [水路运输]; P75 [海洋工程];
学科分类号
0814 ; 081505 ; 0824 ; 082401 ;
摘要
This paper aims to develop an innovative model based on optimal control to optimize the shipping path of the fleet, including icebreakers and following ships in continuous time and space in the Northern Sea Route (NSR) waters, considering the influence of breakable and unbreakable ice. Path planning assumptions of ship navi-gation in ice-covered waters are summarized by considering navigation efficiency, navigation cost, icebreaking cost, and safety. The objective function of the model based on optimal control is formulated to convert the path planning problem into a multi-objective optimization problem. The cost functions based on path planning as-sumptions are specified in the objective function. Finally, dynamic programming and numerical simulation are used to solve the multi-objective optimization functions. Then, the optimal path in continuous time and space in ice-covered waters in the NSR is obtained. A case study of four scenarios, considering breakable and unbreakable sea ice conditions in the NSR, is conducted to verify the strength of the proposed model. The case study results show that the proposed model can optimize the path of ships in ice-covered waters. The method proposed in this research could guide ship fleet path planning for the bridge team and improve icebreaker management in the NSR.
引用
收藏
页数:11
相关论文
共 81 条
[1]   On the future navigability of Arctic sea routes: High-resolution projections of the Arctic Ocean and sea ice [J].
Aksenov, Yevgeny ;
Popova, Ekaterina E. ;
Yool, Andrew ;
Nurser, A. J. George ;
Williams, Timothy D. ;
Bertino, Laurent ;
Bergh, Jon .
MARINE POLICY, 2017, 75 :300-317
[2]   Marine transportation risk assessment using Bayesian Network: Application to Arctic waters [J].
Baksh, Al-Amin ;
Abbassi, Rouzbeh ;
Garaniya, Vikram ;
Khan, Faisal .
OCEAN ENGINEERING, 2018, 159 :422-436
[3]   Development of a search and rescue framework for maritime freight shipping in the Arctic [J].
Benz, Lukas ;
Muench, Christopher ;
Hartmann, Evi .
TRANSPORTATION RESEARCH PART A-POLICY AND PRACTICE, 2021, 152 :54-69
[4]   Inland Waterway Ship Path Planning Based on Improved RRT Algorithm [J].
Cao, Shengshi ;
Fan, Pingyi ;
Yan, Tao ;
Xie, Cheng ;
Deng, Jian ;
Xu, Feng ;
Shu, Yaqing .
JOURNAL OF MARINE SCIENCE AND ENGINEERING, 2022, 10 (10)
[5]   Trans-Arctic shipping routes expanding faster than the model projections [J].
Cao, Yunfeng ;
Liang, Shunlin ;
Sun, Laixiang ;
Liu, Jiping ;
Cheng, Xiao ;
Wang, Dongdong ;
Chen, Yiyu ;
Yu, Meng ;
Feng, Kuishuang .
GLOBAL ENVIRONMENTAL CHANGE-HUMAN AND POLICY DIMENSIONS, 2022, 73
[6]   Projected changes in sea ice and the navigability of the Arctic Passages under global warming of 2 ?C and 3 ?C [J].
Chen, Jinlei ;
Kang, Shichang ;
You, Qinglong ;
Zhang, Yulan ;
Du, Wentao .
ANTHROPOCENE, 2022, 40
[7]   Interactions between Arctic passenger ship activities and emissions [J].
Chen, Qiong ;
Lau, Yui-yip ;
Ge, Ying-En ;
Dulebenets, Maxim A. ;
Kawasaki, Tomoya ;
Ng, Adolf K. Y. .
TRANSPORTATION RESEARCH PART D-TRANSPORT AND ENVIRONMENT, 2021, 97
[8]   Navigability of the Northern Sea Route for Arc7 ice-class vessels during winter and spring sea-ice conditions [J].
Chen, Shi-Yi ;
Kern, Stefan ;
LI, Xin-Qing ;
Hui, Feng-Ming ;
Ye, Yu-Fang ;
Cheng, Xiao .
ADVANCES IN CLIMATE CHANGE RESEARCH, 2022, 13 (05) :676-687
[9]   Arctic sea route path planning based on an uncertain ice prediction model [J].
Choi, Minjoo ;
Chung, Hyun ;
Yamaguchi, Hajime ;
Nagakawa, Keisuke .
COLD REGIONS SCIENCE AND TECHNOLOGY, 2015, 109 :61-69
[10]   Best maritime transportation option for the Arctic crude oil: A profit decision model [J].
Faury, Olivier ;
Cheaitou, Ali ;
Givry, Philippe .
TRANSPORTATION RESEARCH PART E-LOGISTICS AND TRANSPORTATION REVIEW, 2020, 136