A cellular automata ship traffic flow model considering navigation rules in narrowing channel

被引:3
|
作者
Chen, Liang [1 ]
Qi, Jingsen [1 ]
Shi, Jin [2 ]
机构
[1] Shanghai Maritime Univ, Shanghai, Peoples R China
[2] Yangtze Estuary Waterway Adm Bur, Shanghai, Peoples R China
关键词
Cellular automata; Narrowing channel; Ship traffic flow; Traffic flow modelling;
D O I
10.1016/j.aej.2023.01.062
中图分类号
T [工业技术];
学科分类号
08 ;
摘要
To present an analysis and application method of ship traffic flow considering navigation rules in narrowing channel, which can make a reasonable judgment for decision makers to improve navigation efficiency and ensure navigation safety. In this paper, the relationship model between narrowing channel and ships is analyzed from the perspective of navigation. Based on the constraint condition of navigation safety domain, the navigation rules are formulated for different positions of channel, and the mutual influence of ships at the narrowed position of channel is analyzed emphat-ically. The establishment scheme of traffic flow model of narrowing channel with navigation safety distance is put forward by using cellular automata algorithm. According to the measured data, the correctness of the ship traffic flow model of narrowing channel is verified. The experimental results show that the relative error rates are between -2.29% and 10.89%, which indicating that the method can better conform to the actual ship traffic flow characteristics of channel narrowing and has strong application value. (c) 2023 THE AUTHORS. Published by Elsevier BV on behalf of Faculty of Engineering, Alexandria University. This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/ licenses/by-nc-nd/4.0/).
引用
收藏
页码:715 / 726
页数:12
相关论文
共 50 条
  • [1] Cellular automata ship traffic flow model considering integrated bridge system
    Feng, Hongxiang
    [J]. International Journal of u- and e- Service, Science and Technology, 2013, 6 (06) : 111 - 120
  • [2] An Improved Cellular Automata Traffic Flow Model Considering Driving Styles
    Feng, Tianjun
    Liu, Keyi
    Liang, Chunyan
    [J]. SUSTAINABILITY, 2023, 15 (02)
  • [3] A cellular automata traffic flow model considering the heterogeneity of acceleration and delay probability
    Li, Qi-Lang
    Wong, S. C.
    Min, Jie
    Tian, Shuo
    Wang, Bing-Hong
    [J]. PHYSICA A-STATISTICAL MECHANICS AND ITS APPLICATIONS, 2016, 456 : 128 - 134
  • [4] Traffic flow simulation - Cellular automata with fuzzy rules approach
    Burzynski, M
    Cudny, W
    Kosinski, W
    [J]. NEURAL NETWORKS AND SOFT COMPUTING, 2003, : 808 - 813
  • [5] Mixed Traffic Flow Model with Cellular Automata
    Yang, Shuo
    [J]. PROCEEDINGS OF THE 2016 INTERNATIONAL CONFERENCE ON SENSOR NETWORK AND COMPUTER ENGINEERING, 2016, 68 : 159 - 163
  • [6] A Two Lanes Cellular Automata Model for Traffic Flow Considering Realistic Driving Decisions
    Guzman, Hector A.
    Larraga, Maria E.
    Alvarez-Icaza, Luis
    [J]. JOURNAL OF CELLULAR AUTOMATA, 2015, 10 (1-2) : 65 - 93
  • [7] A new cellular automata traffic flow model considering asynchronous update of vehicle velocity
    Li, Qi-Lang
    Jiang, Rui
    Ding, Zhong-Jun
    Wang, Bing-Hong
    [J]. INTERNATIONAL JOURNAL OF MODERN PHYSICS C, 2020, 31 (12):
  • [8] Cellular automata model for urban road traffic flow considering pedestrian crossing street
    Zhao, Han-Tao
    Yang, Shuo
    Chen, Xiao-Xu
    [J]. PHYSICA A-STATISTICAL MECHANICS AND ITS APPLICATIONS, 2016, 462 : 1301 - 1313
  • [9] Research of Cellular Automata Traffic Flow Model for Variable Traffic Flow Density
    Zhang Jian-hua
    Jiang Tao
    Wang Sheng-an
    Ma Jia-wei
    [J]. PROCEEDINGS OF THE INTERNATIONAL CONFERENCE ON CHEMICAL, MATERIAL AND FOOD ENGINEERING, 2015, 22 : 723 - 727
  • [10] Cellular automata model for Urban Road traffic flow Considering Internet of Vehicles and emergency vehicles
    Zhao, Han-Tao
    Zhao, Xin
    Lu, Jian-cheng
    Xin, Liu-yan
    [J]. JOURNAL OF COMPUTATIONAL SCIENCE, 2020, 47