IDEAS home Printed from https://ideas.repec.org/a/eee/trapol/v163y2025icp125-137.html

Estimating the convoy capacity of restricted waterway: The case of the Suez Canal

Author

Listed:
  • Chen, Shukai
  • Meng, Qiang
  • Wang, Hua

Abstract

For some restricted waterways such as the Suez Canal, all arriving ships have to form a convoy and pass through the waterway one by one without overtaking for safety reasons. In this study, we first propose a novel concept of convoy capacity that incorporates the standard unit of ship and estimate convoy capacity by considering ship types, ship sequence, and ship headway between two consecutive ships. If ship headway is fixed, convoy capacity is a constant value given that the ship sequence is aligned optimally. By contrast, convoy capacity becomes an uncertain variable under random ship headway and random ship sequence. To characterize the system state where convoy capacity is achieved under fixed ship headway, we first formulate an integer programming model for the optimal ship sequence. Then, we develop simulation procedures and explore the probability distribution of uncertain convoy capacity. We demonstrate the proposed methods through the Automation Identification System (AIS) data collected from the Suez Canal. The results can provide managerial insights on the performance of convoy system and the effective strategy for ship traffic control.

Suggested Citation

  • Chen, Shukai & Meng, Qiang & Wang, Hua, 2025. "Estimating the convoy capacity of restricted waterway: The case of the Suez Canal," Transport Policy, Elsevier, vol. 163(C), pages 125-137.
  • Handle: RePEc:eee:trapol:v:163:y:2025:i:c:p:125-137
    DOI: 10.1016/j.tranpol.2025.01.001
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0967070X25000010
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.tranpol.2025.01.001?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to

    for a different version of it.

    References listed on IDEAS

    as
    1. Willems, Jannes J., 2018. "Beyond maintenance: Emerging discourses on waterway renewal in the Netherlands," Transport Policy, Elsevier, vol. 72(C), pages 1-12.
    2. Chen, Shukai & Wang, Hua & Xiao, Ling & Meng, Qiang, 2022. "Random capacity for a single lane with mixed autonomous and human-driven vehicles: Bounds, mean gaps and probability distributions," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 160(C).
    3. Montewka, Jakub & Hinz, Tomasz & Kujala, Pentti & Matusiak, Jerzy, 2010. "Probability modelling of vessel collisions," Reliability Engineering and System Safety, Elsevier, vol. 95(5), pages 573-589.
    4. Zhang, Ming & Zeng, Xianyang & Tan, Zhijia, 2024. "Joint decision of green technology adoption and sailing pattern for a coastal ship under ECAs," Transport Policy, Elsevier, vol. 146(C), pages 102-113.
    5. Caspersen, Elise & Ørving, Tale & Tennøy, Aud, 2023. "Capacity reduction on urban main roads: How truck drivers adapted, and what effects and consequences they experienced," Transport Policy, Elsevier, vol. 130(C), pages 68-83.
    6. Zeng, Qingcheng & Lu, Tingyu & Lin, Kun-Chin & Yuen, Kum Fai & Li, Kevin X., 2020. "The competitiveness of Arctic shipping over Suez Canal and China-Europe railway," Transport Policy, Elsevier, vol. 86(C), pages 34-43.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Chen, Q., 2020. "Chinese and Russian Transport Corridors and the Belt and Road Initiative: Prospects of Sino-Russian Cooperation," R-Economy, Ural Federal University, Graduate School of Economics and Management, vol. 6(2), pages 100-110.
    2. Qin, Yanyan & Liu, Changqing & Yan, Shiyi & Wang, Hua, 2025. "Management strategy for the maximum platoon size of connected automated vehicles in a freeway lane: A mixed traffic capacity modeling approach," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 201(C).
    3. Carine Dominguez-Péry & Lakshmi Narasimha Raju Vuddaraju & Isabelle Corbett-Etchevers & Rana Tassabehji, 2021. "Reducing maritime accidents in ships by tackling human error: a bibliometric review and research agenda," Journal of Shipping and Trade, Springer, vol. 6(1), pages 1-32, December.
    4. Shao, Shuai & Xu, Min & Tan, Zhijia & Zhen, Lu, 2024. "Ship deployment problem with green technology adoption for an inland river carrier under non-identical streamflow and speed limits," Transport Policy, Elsevier, vol. 157(C), pages 46-56.
    5. Sui, Zhongyi & Wang, Shuaian, 2025. "Traffic advisory for ship encounter situation based on linear dynamic system," Reliability Engineering and System Safety, Elsevier, vol. 253(C).
    6. Zhang, Fang & Lu, Jian & Hu, Xiaojian & Meng, Qiang, 2023. "Integrated deployment of dedicated lane and roadside unit considering uncertain road capacity under the mixed-autonomy traffic environment," Transportation Research Part B: Methodological, Elsevier, vol. 174(C).
    7. Sotiralis, P. & Ventikos, N.P. & Hamann, R. & Golyshev, P. & Teixeira, A.P., 2016. "Incorporation of human factors into ship collision risk models focusing on human centred design aspects," Reliability Engineering and System Safety, Elsevier, vol. 156(C), pages 210-227.
    8. Cai, Mingyou & Zhang, Jinfen & Zhang, Di & Yuan, Xiaoli & Soares, C. Guedes, 2021. "Collision risk analysis on ferry ships in Jiangsu Section of the Yangtze River based on AIS data," Reliability Engineering and System Safety, Elsevier, vol. 215(C).
    9. Sun, Mingmei, 2023. "A day-to-day dynamic model for mixed traffic flow of autonomous vehicles and inertial human-driven vehicles," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 173(C).
    10. Yihong Li & Longxiang Liu & Sunwei Li & Zhen-Zhong Hu, 2024. "The Probability of Ship Collision during the Fully Submerged Towing Process of Floating Offshore Wind Turbines," Sustainability, MDPI, vol. 16(4), pages 1-17, February.
    11. Suyi Li & Qiang Meng & Xiaobo Qu, 2012. "An Overview of Maritime Waterway Quantitative Risk Assessment Models," Risk Analysis, John Wiley & Sons, vol. 32(3), pages 496-512, March.
    12. Junseung Kim & Kyungku Kim & Kum Fai Yuen & Keun-Sik Park, 2020. "Cost and Scenario Analysis of Intermodal Transportation Routes from Korea to the USA: After the Panama Canal Expansion," Sustainability, MDPI, vol. 12(16), pages 1-20, August.
    13. Tan, Zhijia & Shao, Shuai & Xu, Min & Wang, Kun, 2025. "Regulating the emissions of a bi-modal freight corridor considering non-cooperative authorities," International Journal of Production Economics, Elsevier, vol. 280(C).
    14. Goerlandt, Floris & Montewka, Jakub, 2015. "Maritime transportation risk analysis: Review and analysis in light of some foundational issues," Reliability Engineering and System Safety, Elsevier, vol. 138(C), pages 115-134.
    15. J Montewka & P Krata & F Goerlandt & A Mazaheri & P Kujala, 2011. "Marine traffic risk modelling – an innovative approach and a case study," Journal of Risk and Reliability, , vol. 225(3), pages 307-322, September.
    16. Jessica Weber & Johann Köppel, 2022. "Can MCDA Serve Ex-Post to Indicate ‘Winners and Losers’ in Sustainability Dilemmas? A Case Study of Marine Spatial Planning in Germany," Energies, MDPI, vol. 15(20), pages 1-30, October.
    17. Zhuo Sun & Ran Zhang & Tao Zhu, 2022. "Simulating the Impact of the Sustained Melting Arctic on the Global Container Sea–Rail Intermodal Shipping," Sustainability, MDPI, vol. 14(19), pages 1-19, September.
    18. Rong, H. & Teixeira, A.P. & Guedes Soares, C., 2022. "Maritime traffic probabilistic prediction based on ship motion pattern extraction," Reliability Engineering and System Safety, Elsevier, vol. 217(C).
    19. Li, Tongfei & Cao, Yaning & Xu, Min & Sun, Huijun, 2023. "Optimal intersection design and signal setting in a transportation network with mixed HVs and CAVs," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 175(C).
    20. Li, De-Chang & Yang, Hua-Long, 2024. "Voyage charterparty arrangement for river tramp shipping: Green and traditional vessels comparison," Transport Policy, Elsevier, vol. 158(C), pages 75-92.

    More about this item

    Keywords

    ;
    ;
    ;
    ;

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:eee:trapol:v:163:y:2025:i:c:p:125-137. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Catherine Liu (email available below). General contact details of provider: http://www.elsevier.com/wps/find/journaldescription.cws_home/30473/description#description .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.