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In response to the congestion issues encountered in inland waterway navigation at hydraulic hubs, a bilevel dynamic game optimization model is developed. By incorporating a congestion charging mechanism along with a fee refund policy to adjust and optimize the distribution of ship passages over dams, a Hybrid Variable Neighborhood Search Genetic Algorithm (HVNGA) is proposed to solve the bilevel programming problem. A simulation study using the Three Gorges Hub as a case example demonstrates that the optimized pricing strategy reduces the total system cost by 11.79% and achieves budget balance for the managing authority. Furthermore, compared with a conventional Genetic Algorithm (GA), HVNGA improves solution quality by 2.31% while reducing computational time by 55.3%, thereby exhibiting superior efficiency and stability. These findings provide theoretical support for the formulation of refined scheduling and differentiated pricing policies at hydraulic hubs, promoting the efficient and sustainable development of the navigation system.

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Research on the Navigation Pricing Strategy for Hydraulic Hubs Based on a Bilevel Dynamic Game

  • 会议论文

  • 发表日期：

    2026年

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  • Xinyue Liu,
  • Shun Liu,
  • Yu Zhang

摘要

In response to the congestion issues encountered in inland waterway navigation at hydraulic hubs, a bilevel dynamic game optimization model is developed. By incorporating a congestion charging mechanism along with a fee refund policy to adjust and optimize the distribution of ship passages over dams, a Hybrid Variable Neighborhood Search Genetic Algorithm (HVNGA) is proposed to solve the bilevel programming problem. A simulation study using the Three Gorges Hub as a case example demonstrates that the optimized pricing strategy reduces the total system cost by 11.79% and achieves budget balance for the managing authority. Furthermore, compared with a conventional Genetic Algorithm (GA), HVNGA improves solution quality by 2.31% while reducing computational time by 55.3%, thereby exhibiting superior efficiency and stability. These findings provide theoretical support for the formulation of refined scheduling and differentiated pricing policies at hydraulic hubs, promoting the efficient and sustainable development of the navigation system.