Optimization of ship transport capacity structure for traffic congestion alleviation on inland waterways

被引:0
|
作者
Zhang, Minglong [1 ,2 ,3 ]
Du, Lei [4 ]
Wen, Yuanqiao [1 ,2 ,3 ]
Guo, Lingying [4 ]
Wu, Bo [4 ]
机构
[1] Wuhan Univ Technol, Intelligent Transportat Syst Res Ctr, Wuhan 430063, Peoples R China
[2] Wuhan Univ Technol, Sch Transportat & Logist Engn, Wuhan 430063, Peoples R China
[3] Wuhan Univ Technol, Sanya Sci & Educ Innovat Pk, Sanya 57200, Peoples R China
[4] Wuhan Univ Technol, Sch Nav, Wuhan 430063, Peoples R China
关键词
Ship transport capacity structure; Cargo transportation demand; Three gorges dam; Traffic congestion; OD data; MODEL; PREDICTION; SELECTION;
D O I
10.1016/j.oceaneng.2024.118841
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
Due to constraints of ship locks, the increasing demand for cargo transportation across the lock will continue to exacerbate vessel congestion in the Three Gorges Dam reservoir area, severely hindering the high-quality development of Yangtze River shipping. Considering that the dimensions of the ship locks cannot be altered, this paper proposes a method for optimizing the ship transport capacity structure (STCS) of inland waterway to alleviate ship traffic congestion in the Three Gorges Dam reservoir area. Firstly, based on the cargo transportation network extracted from OD data, the demand for goods transportation is calculated. Secondly, a multiobjective optimization model for optimizing STCS is designed, and the optimal STCS is determined by combining traffic flow simulation models, ship lock layout optimization models, gradient descent strategies and ant colony algorithms. Then, a model for evaluating ship traffic congestion is constructed to quantify the level of ship traffic congestion. Finally, combined with cargo transport OD (origin-destination) data, simulation-based comparative experiments are conducted to validate the effectiveness of the proposed model in alleviating traffic congestion and increasing transportation capacity. The findings of this research hold crucial implications for high-quality traffic management of ships navigating the Yangtze River.
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页数:12
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  • [1] Hydraulic and Ship Dynamic Modelling for Optimization of the Trafficability of Inland Waterways
    Heinzelmann, Christoph
    Dettmann, Thorsten
    Zentgraf, Rolf
    [J]. WASSERWIRTSCHAFT, 2009, 99 (04) : 38 - 42
  • [2] On the problems of modeling intelligent decision support system for dispatching control of ship traffic transportation within inland waterways
    Lukomskaya, Olga Y.
    Lukomskij, Yuri A.
    [J]. MARINE INTELLECTUAL TECHNOLOGIES, 2020, (03): : 180 - 186
  • [3] Stochastic model of ship traffic congestion in waterways for two different traffic solutions based on the Swinoujs']jscie-Szczecin case study
    Gucma, Lucjan
    Bak, Andrzej
    Gucma, Maciej
    [J]. SCIENTIFIC JOURNALS OF THE MARITIME UNIVERSITY OF SZCZECIN-ZESZYTY NAUKOWE AKADEMII MORSKIEJ W SZCZECINIE, 2015, 42 (114): : 63 - 69
  • [4] Stochastic model of ship traffic congestion in waterways applied to determine the influence of Liquefied Petroleum Gas tanker introduction on ship traffic on the Swinoujs']jscie-Szczecin waterway
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    Bak, Andrzej
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    [J]. SCIENTIFIC JOURNALS OF THE MARITIME UNIVERSITY OF SZCZECIN-ZESZYTY NAUKOWE AKADEMII MORSKIEJ W SZCZECINIE, 2016, 45 (117): : 69 - 74
  • [5] Environmental Traffic Capacity and Traffic Structure Optimization on Urban Road
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    [J]. PROCEEDINGS OF THE 11TH INTERNATIONAL IEEE CONFERENCE ON INTELLIGENT TRANSPORTATION SYSTEMS, 2008, : 329 - 333
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    Aderibigbe, Oluwayemi-Oniya
    Gumbo, Trynos
    Deji, Joseph
    [J]. TRANSPORT PROBLEMS, 2024, 19 (02) : 47 - 55
  • [7] Capacity Optimization based on Traffic Grooming in Transport Networks
    Ramachandran, Madanagopal
    Anbiah, Anix
    Sivalingam, Krishna M.
    [J]. 2019 IFIP/IEEE SYMPOSIUM ON INTEGRATED NETWORK AND SERVICE MANAGEMENT (IM), 2019, : 435 - 441
  • [8] The Optimization Analysis Method of the Best Performance of Hydrodynamic and Structure Features for Ship in Inland River
    Yang Songlin
    Wu Yan
    [J]. 11TH WORLD CONGRESS ON COMPUTATIONAL MECHANICS; 5TH EUROPEAN CONFERENCE ON COMPUTATIONAL MECHANICS; 6TH EUROPEAN CONFERENCE ON COMPUTATIONAL FLUID DYNAMICS, VOLS II - IV, 2014, : 3213 - 3219
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    Ge, Hu
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    [J]. OCEAN & COASTAL MANAGEMENT, 2023, 244
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