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In order to effectively integrate forward and reverse logistics, taking advantage of the characteristics of drones with low cost, less influence by ground traffic conditions and less pollutant emission, a drone delivery model comprehensively considering the factors such as drone failure and segmented battery energy consumption is constructed. The ant colony algorithm is used to optimally solve the model, and finally the example scenarios is used to test it. The results show that the new drone delivery model can effectively reduce the logistics cost while better improving the reliability; analyzing key parameters have demonstrated that expanding the drone payload and battery capacity will help improve operational effects.

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Drone Distribution Route Optimization of Simultaneous Pick-Up and Delivery

  • 会议论文

  • 发表日期：

    2025年

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  • Yueyue Liu,
  • Guowei Hua

摘要

In order to effectively integrate forward and reverse logistics, taking advantage of the characteristics of drones with low cost, less influence by ground traffic conditions and less pollutant emission, a drone delivery model comprehensively considering the factors such as drone failure and segmented battery energy consumption is constructed. The ant colony algorithm is used to optimally solve the model, and finally the example scenarios is used to test it. The results show that the new drone delivery model can effectively reduce the logistics cost while better improving the reliability; analyzing key parameters have demonstrated that expanding the drone payload and battery capacity will help improve operational effects.