Optimization and effect testing of the combined distribution route of fresh agricultural products vehicles and drones

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Optimization and effect testing of the combined distribution route of fresh agricultural products vehicles and drones

Journal Title: Journal of Henan Agricultural University - Year 2024, Vol 58, Issue 1

Abstract

[Objective] In order to improve the delivery efficiency of fresh agricultural products, an optimized scheme of combining vehicles and unmanned aerial vehicles(UAV) was proposed for the distribution of fresh agricultural products. [Method] Based on the cold chain distribution system requirements for fresh agricultural products, the fuzzy K-means clustering method was used to determine the distribution center of fresh agricultural products, and define the location of the distribution center as the starting point for the combined distribution of vehicles and drones. With the objective function of minimizing the total cost of fresh agricultural product distribution, the ant colony algorithm and drone logistics vehicle coordination distribution algorithm were used to solve the above constructed objective function, and obtain the distribution path planning result with the lowest total cost of distribution; a security heuristic function to introduced to optimize ant transfer rules and obtain the safest optimal delivery path for unmanned aerial vehicles. According to this method, fresh agricultural products were divided into heavy and light items by weight, and the costs incurred during the distribution process of heavy and light items were calculated to obtain the distribution costs before and after optimization under different total delivery quantities of fresh agricultural products. [Result] The test results showed that this method had good clustering performance, with cluster cohesion Davies-Boldin (DB) index values below 0.15. It can reasonably select distribution centers to ensure their coverage. And by comparing the data before and after the application of the method, it can be seen that the distribution cost of heavy and light items before the application is significantly higher than that after the application. [Conclusion] The method proposed in this article can achieve higher quality delivery path planning for vehicle and UAV combinations, significantly reducing the overall delivery cost of fresh agricultural products, satisfying application requirements, and improving delivery efficiency.

Authors and Affiliations

Rong ZHANG, Mengdi PANG, Bin LIU

Keywords

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EP ID EP769289
DOI 10.16445/j.cnki.1000-2340.20231127.001
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