基于农村快递需求分布特征的货运车辆与无人机并行配送优化研究  

Research on the Optimization of Parallel Delivery by Cargo Vehicles and Drones Based on the Distribution Characteristics of Rural Demand

作　　者：王超峰[1] 公维鑫 WANG Chaofeng;GONG Weixin(Airport College,Civil Aviation Flight University of China,Guanghan 618307,Sichuan,China)

机构地区：[1]中国民用航空飞行学院机场学院,四川广汉618307

出　　处：《科技和产业》2025年第7期82-87,共6页Science Technology and Industry

基　　金：国家自然科学基金(71403225);中央高校基本科研业务费(24CAFUC04013)。

摘　　要：面对农村日益增长的物流配送需求,优化农村物流末端配送模式、降低配送成本、提升配送服务质量成为亟待解决的问题。基于送货车辆与无人机并行配送模式,考虑农村地区物流配送特点,以总配送利润最大化为目标,构建考虑农村地区特征的车辆与无人机并行配送模型。采用改进的蚁群算法进行求解,通过Solomon算例验证算法的可行性。研究结果表明,货运车辆与无人机并行配送与传统货车无人机单独配送相比具有明显优势。In response to the increasingly growing logistics delivery demands in rural areas,optimizing the last-mile delivery model,reducing delivery costs,and improving service quality have become urgent issues.Based on a parallel delivery model using delivery vehicles and drones,and considering the characteristics of logistics distribution in rural areas,aims to maximize total delivery profit by constructing a parallel delivery model that incorporates the specific features of rural areas.An improved ant colony algorithm was employed to solve the model,and the feasibility of the algorithm was validated using Solomon benchmark instances.The research results demonstrate that the parallel delivery of vehicles and drones has significant advantages over the traditional single-mode delivery of vehicles or drones.

关 键 词：农村电商物流 路径规划 并行配送 蚁群算法 

分 类 号：U13[交通运输工程]