基于元胞自动机的航道通过能力建模与仿真

doi:10.16182/j.issn1004731x.joss.20-0587

系统仿真学报 ›› 2021, Vol. 33 ›› Issue (10): 2478-2487.doi: 10.16182/j.issn1004731x.joss.20-0587

• 仿真支撑平台/系统技术 • 上一篇下一篇

基于元胞自动机的航道通过能力建模与仿真

刘宗杨^1,2, 周春辉^1,2,*, 赵俊男^1,2, 肖进丽^1,2, 甘浪雄^1,2

1.武汉理工大学航运学院,湖北武汉 430063;
2.内河航运技术湖北省重点实验室,湖北武汉 430063

收稿日期:2020-08-11 修回日期:2020-09-29 出版日期:2021-10-18 发布日期:2021-10-18
通讯作者: 周春辉(1978-),男,博士,副教授,博导,研究方向为海上交通系统仿真。E-mail：24003482@qq.com
作者简介:刘宗杨(1995-),男,硕士生,研究方向为水上交通系统建模与仿真。E-mail：1710290596@qq.com

Modeling and Simulation of Channel Passage Capacity Based on Cellular Automata

Liu Zongyang^1,2, Zhou Chunhui^1,2,*, Zhao Junnan^1,2, Xiao Jinli^1,2, Gan Langxiong^1,2

1. School of Navigation, Wuhan University of Technology, Wuhan 430063, China;
2. Hubei Key Laboratory of Inland Shipping Technology, Wuhan 430063, China

Received:2020-08-11 Revised:2020-09-29 Online:2021-10-18 Published:2021-10-18

摘要/Abstract

摘要： 为研究海港进出港航道的通过能力,探究航道服务水平,采用元胞自动机理论对海港进出港主航道进行离散化建模,对船舶在航道中的运动规则采用分段处理,重点考虑弯曲航段存在交通“警惕区”,分别对顺直航段和弯曲航段的船舶运动规则进行条件约束,通过仿真实验得到航道的船舶流量和航道的最大船舶通过能力,计算出航道的饱和度并对航道服务水平进行评价。仿真实验结果验证了模型能够较为准确地反映航道船舶运行情况,并对目前和远期的航道服务水平进行了评价。

关键词: 航道工程, 航道通过能力, 元胞自动机, 服务水平, 分段约束

Abstract: In order to study the passage capacity of the seaport and explore the service level of the channel, the cellular automata theory is used to discretize and model the main channel of the seaport, and the movement rules of the cell in the channel are processed in sections. In addition, this study focuses on the existence of a traffic "warning zone" in the curved channel section. The ship motion rules of the straight channel section and the curved channel section are respectively constrained, through simulation experiments, the vessel traffic flow of the channel and the maximum ship passing capacity of the channel are obtained, the saturation of the channel is calculated and the service level of the channel is evaluated. The simulation results show that the model can accurately reflect the ship operation in the channel and evaluate the current and long-term service level of the channel.

Key words: waterway engineering, channel passing capacity, cellular automata, service Level, segment constraint

中图分类号:

U612.3
TP391

刘宗杨, 周春辉, 赵俊男, 肖进丽, 甘浪雄. 基于元胞自动机的航道通过能力建模与仿真[J]. 系统仿真学报, 2021, 33(10): 2478-2487.

Liu Zongyang, Zhou Chunhui, Zhao Junnan, Xiao Jinli, Gan Langxiong. Modeling and Simulation of Channel Passage Capacity Based on Cellular Automata[J]. Journal of System Simulation, 2021, 33(10): 2478-2487.

参考文献

[1] 吴兆麟, 朱军. 海上交通工程[M]. 大连: 大连海事大学出版社, 2004: 102-103.
Wu Zhaolin, Zhu Jun.Marine Traffic Engineering[M]. Dalian: Dalian Maritime University Press, 2004: 102-103.
[2] 赵景丽. 基于排队论的沿海港口航道通过能力及服务水平研究[D]. 青岛: 中国海洋大学, 2010.
Zhao Jingli.Research on Channel Transit Capacity and Service Level of Sea Port Based on Queuing Theory[D]. Tsingtao: Ocean University of China, 2010.
[3] Uğurlu Ö, Yüksekyıldız E, Köse E.Simulation Model on Determining of Port Capacity and Queue Size: A Case Study for BOTAS Ceyhan Marine Terminal[J]. The International Journal on Marine Navigation and Safety of Sea Transportation (S2083-6473), 2014, 8(1): 143-150.
[4] 丁涛, 徐湘文. 基于OD结构网络模型的长江干线航道通过能力研究[J]. 武汉理工大学学报(交通科学与工程版), 2015, 39(4): 751-754.
Ding Tao, Xu Xiangwen.Main Channel Capacity of the Yangtze River Based on OD Network Model[J]. Journal of Wuhan University of Technology (Transportation Science & Engineering), 2015, 39(4): 751-754.
[5] 张行健. 复杂约束条件下河口段港区通过能力研究[D]. 武汉: 武汉理工大学, 2018.
Zhang Xingjian.Study on Traffic Capacity of Estuarine Port Area Under the Complex Constraints[D]. Wuhan: Wuhan University of Technology, 2018.
[6] 苏华伟. 提高航道船舶进出港效率方法的研究[D]. 大连: 大连海事大学, 2019.
Su Huawei.Study on the Method to Improve the Efficiency of Ships Entering and Leaving Port[D]. Dalian: Dalian Maritime University, 2019.
[7] Kumaran S K, Dogra D P, Roy P P.Queuing Theory Guided Intelligent Traffic Scheduling Through Video Analysis Using Dirichlet Process Mixture Model[J]. Expert Systems with Applications (S0957-4174), 2019, 118(4): 169-181.
[8] Chen J, Lin L, Jiang R.Assigning On-ramp Flows to Maximize Capacity of Highway with Two On-ramps and One Off-ramp in Between[J]. Physica A-Statistical Mechanics and its Applications (S0378-4371), 2016, 465(1): 347-357.
[9] 朱俊, 张玮. 基于跟驰理论的内河航道通过能力计算模型[J]. 交通运输工程学报, 2009, 9(5): 83-87.
Zhu Jun, Zhang Wei.Calculation Model of Inland Waterway Transit Capacity based on Ship-following Theory[J]. Journal of Traffic and Transportation Engineering, 2009, 9(5): 83-87.
[10] 鲁雷. 港口航道通过能力建模仿真研究[J]. 中国水运(下半月), 2019, 19(9): 67-68.
Lu Lei.Research on Modeling and Simulation of Port Channel Through Capacity[J]. China Water Transport, 2019, 19(9): 67-68.
[11] 史殿中. 超大型船舶通航对航道通过能力影响的研究[D]. 大连: 大连海事大学, 2017.
Shi Dianzhong.The Study of the Influence on Channel Traffic Capacity by Navigation Very Large Ship[D]. Dalian: Dalian Maritime University, 2017.
[12] Dragovic B, Tzannatos E, Park N.Simulation Modelling in Ports and Container Terminals: Literature Overview and Analysis by Research Field, Application Area and Tool[J]. Flexible Services & Manufacturing Journal (S1936-6582), 2017, 29(1): 4-34.
[13] Dulebenets M, Golias M, Mishra S, et al.Evaluation of the Floaterm Concept at Marine Container Terminals via Simulation[J]. Simulation Modelling Practice and theory (S1569-190X), 2015, 54(5): 19-35.
[14] Parola F, Sciomachen A.Intermodal Container Flows in a Port System Network: Analysis of Possible Growths via Simulation Models[J]. International Journal of Production Economics (S0925-5273), 2005, 97(1): 75-88.
[15] 齐乐. 基于元胞自动机的海上航道内船舶交通流研究[D]. 大连: 大连海事大学,2017.
Qi Le.Research on Ship Traffic Flow in Waterway Based on Cellular Automata[D]. Dalian: Dalian Maritime University, 2017.
[16] 柯姜岑. 基于元胞自动机的水运枢纽运输组织研究[D]. 武汉: 武汉理工大学, 2012.
Ke Jiangcen.Study on Navigable Hydro-junction Organization Mode with Cellular Automata[D]. Wuhan: Wuhan University of Technology, 2012.
[17] 中华人民共和国交通运输部. 海港总体设计规范: JTS165-2013[S]. 北京: 人民交通出版社, 2013.
Ministry of Transport of the People's Republic of China. Design Code of General Layout for Sea Ports: JTS165-2013[S]. Beijing: China Communications Press, 2013.
[18] 朱翔宇. 基于AIS的船舶交通流的预测与仿真研究[D]. 武汉: 武汉理工大学, 2016.
Zhu Xiangyu.Study on Vessel Traffic FlowPrediction and Simulation Based on AIS Data[D]. Wuhan: Wuhan University of Technology, 2016.
[19] Szlapczynski R, Szlapczynska J.Review of Ship Safety Domains: Models and Applications[J]. Ocean Engineering (S0029-8018), 2017, 145(17): 277-289.
[20] 许忠厚, 何良德, 尹亚军, 等. 内河港区段航道服务水平评价[J]. 华东交通大学学报, 2016, 33(1): 55-60.
Xu Zhonghou, He Liangde, Yin Yajun, et al.Evaluation of the Waterway Service Level of the Inland Port Section[J]. Journal of East China Jiaotong University, 2016, 33(1): 55-60.
[21] 刘帅臣. 沿海航道乘潮通航饱和度研究[D]. 大连: 大连海事大学, 2019.
Liu Shuaichen.Study on the Tidal Navigation Saturation of Coastal Waterway[D]. Dalian: Dalian Maritime University, 2019.
[22] 张则浩, 于祖杰, 刘强, 等. 龙口港航道饱和度研究[J]. 大连海事大学学报, 2014, 40(1): 33-36.
Zhang Zehao, Yu Zujie, Liu Qiang, et al.Study on the Channel Saturation of Longkou Port[J]. Journal of Dalian Maritime University, 2014, 40(1): 33-36.

基于元胞自动机的航道通过能力建模与仿真

Modeling and Simulation of Channel Passage Capacity Based on Cellular Automata

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