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June 4, 2026Decision Sciences

A bi‐level optimization model for operating shared electric bus charging stations with dual‐user queuing systems

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Authors

YCYuan ChenTianjin University of TechnologyBSBoyuan SunTianjin University of Finance and EconomicsYSYinghua ShenChongqing University

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Implication

Randomized trial investigates operational strategies for electric bus charging stations, suggesting improved efficiency and reduced user wait times.

Key Points

  • This research aims to optimize the operation of electric bus charging stations to enhance efficiency for both electric buses and private electric vehicles.
  • Developed a bi-level optimization model to analyze interactions between electric bus firms and private electric vehicles.
  • Utilized a multiple-population genetic algorithm to solve the optimization model.
  • Conducted experiments comparing dynamic optimization strategies against fixed strategies in various scenarios.
  • Achieved over 80% utilization of charging resources, maintaining PEV user wait times under 0.5 hours.
  • Dynamic optimization improved operational efficiency compared to fixed strategies, especially with lower transition costs.
  • The proposed algorithm outperformed traditional genetic algorithms in 50 experiments.

Cite This Study

Chen et al. (2026) studied this question.

synapsesocial.com/papers/6a211763d499ed480b17033dhttps://doi.org/10.1111/deci.70033
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