沈阳航空航天大学学报2026，Vol.43Issue(4)：64-71,8.DOI:10.3969/j.issn.2095-1248.2026.04.007
低空经济背景下无人机物流配送中心选址分配问题
The location-allocation problem of unmanned aerial vehicle logistics distribution centers under the background of low altitude economy
摘要
Abstract
To investigate the collaborative optimization problem of unmanned aerial vehicle(UAV)distribution center location-allocation in the context of low-altitude urban last-mile delivery,the simulation experiments were conducted on 20 universities within the no-fly zone-exempt areas of Shenyang,which comprehensively considered geographical regional characteristics,UAV performance attributes,and delivery time constraints to address the location-allocation problem within this specific operational context.The characteristics of unmanned aerial vehicle logistics distribution were examined and analyzed the location-allocation problem of distribution centers.Considering specific regional environments and the unique features of unmanned aerial vehicle,a multi-constraint mathematical model was constructed with the objective of minimizing total costs.The elbow clustering method was employed to determine the number of distribution centers,while a simulated annealing optimization algorithm was applied to derive optimal coordinates and allocation scheme under the goal of minimizing total economic costs.The influence of distribution center load rates and capacity constraints on location selection was also considered.Finally,a simulation experiment based on real-world conditions was conducted using Python to obtain the algorithm's optimal solution—namely,the best location-allocation scheme.关键词
低空经济/无人机物流配送/选址分配问题/手肘聚类法/模拟退火优化算法Key words
lowaltitude economy/unmanned aerial vehicle logistic distribution/location-allocation problem/elbow clustering method/simulated annealing optimization algorithm分类
交通工程引用本文复制引用
荆浩,杨瑞..低空经济背景下无人机物流配送中心选址分配问题[J].沈阳航空航天大学学报,2026,43(4):64-71,8.基金项目
辽宁省科技厅公益基金(项目编号:2026JH4/10100041). （项目编号:2026JH4/10100041）
