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<p>The integration of mobility and logistics in transport networks offers solutions to urban transportation challenges such as traffic congestion and last-mile delivery. In cities with abundant waterways, electric waterborne vessel systems can enhance efficiency by serving both passenger and parcel demands. This study develops a dynamic fleet management model that optimizes vessel operations using a rolling horizon approach, updating plans upon new request arrivals. A mathematical model is formulated to solve a pick-up and delivery problem for heterogeneous services, complemented by an insertion heuristic for computational efficiency. Numerical experiments for Fredrikstad, Norway, compare the proposed approach with conventional fixed-purpose vessels under varying demand scenarios. Results show that the insertion heuristic significantly reduces computation time while maintaining high solution quality. Additionally, mixed-purpose vessels outperform fixed-purpose vessels in efficiency and service levels across all demand conditions.</p>

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Dynamic fleet management of waterborne vessels with mixed passenger and parcel services

  • 期刊论文

  • 出版模式：

    开放获取

  • 发表日期：

    2025年4月14日

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  • Heisuke Miyoshi,
  • Yimeng Zhang,
  • Shadi Sharif Azadeh,
  • Oded Cats

摘要

The integration of mobility and logistics in transport networks offers solutions to urban transportation challenges such as traffic congestion and last-mile delivery. In cities with abundant waterways, electric waterborne vessel systems can enhance efficiency by serving both passenger and parcel demands. This study develops a dynamic fleet management model that optimizes vessel operations using a rolling horizon approach, updating plans upon new request arrivals. A mathematical model is formulated to solve a pick-up and delivery problem for heterogeneous services, complemented by an insertion heuristic for computational efficiency. Numerical experiments for Fredrikstad, Norway, compare the proposed approach with conventional fixed-purpose vessels under varying demand scenarios. Results show that the insertion heuristic significantly reduces computation time while maintaining high solution quality. Additionally, mixed-purpose vessels outperform fixed-purpose vessels in efficiency and service levels across all demand conditions.