Volume 44 Issue 1
Feb.  2026
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XIA Tong, HUANG Yanmin, WEN Yuanqiao, HAN Haihang, HU Taiwei. Ship-Shore Collaborative Remote Control System Architecture for Inland Autonomous Ships[J]. Journal of Transport Information and Safety, 2026, 44(1): 88-100. doi: 10.3963/j.jssn.1674-4861.2026.01.008
Citation: XIA Tong, HUANG Yanmin, WEN Yuanqiao, HAN Haihang, HU Taiwei. Ship-Shore Collaborative Remote Control System Architecture for Inland Autonomous Ships[J]. Journal of Transport Information and Safety, 2026, 44(1): 88-100. doi: 10.3963/j.jssn.1674-4861.2026.01.008

Ship-Shore Collaborative Remote Control System Architecture for Inland Autonomous Ships

doi: 10.3963/j.jssn.1674-4861.2026.01.008
  • Received Date: 2025-07-21
    Available Online: 2026-08-28
  • The traditional ship control system architecture can hardly meet the practical demands for Ship-Shore Coordination upgrading and Remote Control function deployment, and the lack of a unified framework directly restricts the efficiency of ship-shore collaborative operations. To ensure the adaptability and consistency of the ship remote control system in this scenario, this paper proposes Modes of Remote Navigation and a Remote Control Architecture suitable for inland waterway Autonomous Ships. Based on literature review and comparative analysis of relevant specifications, four basic remote navigation modes are proposed: remote teleoperation (directly executing rudder and propulsion commands), Remote Control Mode Ⅰ (remote command safety judgment), Remote Control Mode Ⅱ (autonomous navigation decision-making and Human-Machine Interaction command fusion), and Supervisory Remote Control Mode Ⅲ (fully autonomous navigation supervision). A'Ship-Shore-Cloud'collaborative architecture for inland waterway scenarios is constructed, clarifying system functional division and information flow. Six remote navigation information services and five human-machine interaction modes are designed, with the implementation path of integrating shore-based/cloud data links into the ship control system defined. Finally, simulation experiments compare control performance under different ship-shore communication delays. Results show that Remote Control Mode Ⅱ enhances robustness in high-delay environments, Mode Ⅰ performs optimally in medium-delay conditions, and remote teleoperation achieves satisfactory effects in low-delay scenarios. The proposed modes and architecture provide core technical support for the engineering application of inland autonomous ship remote navigation, while the interaction design and delay adaptation suggestions offer important references for optimizing ship-shore coordination efficiency.

     

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