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Research on Rural Logistics Path Optimization Based on Collaborative Delivery with Electric Vehicles and Drones

In: Proceedings of the 2024 5th International Conference on Management Science and Engineering Management (ICMSEM 2024)

Author

Listed:
  • Haoqing Sun

    (Liaoning Technical University, School of Business and Management)

  • Manhui He

    (Liaoning Technical University, School of Business and Management)

Abstract

The rural logistics distribution system faces significant pressure due to the complexity of the terrain and the widespread dispersion of delivery points. To address this challenge, this study innovates upon the traditional single-mode delivery system by proposing a “Electric Vehicle + Drone” collaborative delivery model, which takes into consideration factors such as carbon emissions and customer satisfaction with the goal of minimizing total costs. Initially, the k-means clustering method is used to determine the stopping points of electric vehicles and effectively categorize customer points. Subsequently, an improved ant colony algorithm is employed for route planning. The model’s effectiveness and practicality were verified using the Solomon dataset. Experimental results show that compared to traditional vehicle-only delivery models, the collaborative delivery model excels in reducing total costs by 14.52% and significantly enhances delivery efficiency, with an improvement of 21.86%.

Suggested Citation

  • Haoqing Sun & Manhui He, 2024. "Research on Rural Logistics Path Optimization Based on Collaborative Delivery with Electric Vehicles and Drones," Advances in Economics, Business and Management Research, in: Valentin Vasilev & Cătălin Popescu & Yanhong Guo & Xiaolin Li (ed.), Proceedings of the 2024 5th International Conference on Management Science and Engineering Management (ICMSEM 2024), pages 824-837, Springer.
    • Handle: RePEc:spr:advbcp:978-94-6463-570-6_83
    DOI: 10.2991/978-94-6463-570-6_83
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