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

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

Authors
Haoqing Sun1, Manhui He1, *
1School of Business and Management, Liaoning Technical University, Huludao, Liaoning, 125100, China
*Corresponding author. Email: 1551425633@qq.com
Corresponding Author
Manhui He
Available Online 22 November 2024.
DOI
10.2991/978-94-6463-570-6_83How to use a DOI?
Keywords
Rural Logistics; Drones; Path Optimization; Improved Ant Colony Algorithm
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%.

Copyright
© 2024 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

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Volume Title
Proceedings of the 2024 5th International Conference on Management Science and Engineering Management (ICMSEM 2024)
Series
Advances in Economics, Business and Management Research
Publication Date
22 November 2024
ISBN
978-94-6463-570-6
ISSN
2352-5428
DOI
10.2991/978-94-6463-570-6_83How to use a DOI?
Copyright
© 2024 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

Cite this article

risenwbib
TY  - CONF
AU  - Haoqing Sun
AU  - Manhui He
PY  - 2024
DA  - 2024/11/22
TI  - Research on Rural Logistics Path Optimization Based on Collaborative Delivery with Electric Vehicles and Drones
BT  - Proceedings of the 2024 5th International Conference on Management Science and Engineering Management (ICMSEM 2024)
PB  - Atlantis Press
SP  - 824
EP  - 837
SN  - 2352-5428
UR  - https://doi.org/10.2991/978-94-6463-570-6_83
DO  - 10.2991/978-94-6463-570-6_83
ID  - Sun2024
ER  -