考虑跨区域条件下与非机动车协同配送的无人机起降点选址研究

Research on Unmanned Aerial Vehicles Landing Site Selection for Collaborative Delivery with Non-Motorized Vehicle under Cross-Regional Conditions

摘要: 外卖服务行业发展迅速，无人机凭借其无接触、可靠高效的特点受到广泛关注。但递送全程使用无人机成本高昂；传统的骑手递送模式在遇到江水等特殊地形时不可达或只能通过轮渡等方式通过，效率低下；商铺服务覆盖范围也因此削减。针对这一问题，提出非机动车–无人机协同配送模式，以经济成本最小为主要目标构建无人机起降点选址规划模型。引入关切系数，设计遗传算法，求得在寻非机动车最短路条件下的方案。最后通过算例表明服务覆盖面积提高了66.93%，成本较传统方式降低了26%，供无人机企业和政府决策者审度参考。

Abstract: The express logistics industry is experiencing rapid growth, with increasing interest in non-contact, reliable and efficient unmanned aerial vehicles (UAVs). But the high costs associated with full UAV deployment, low efficiency with traditional method in using food delivery riders which transit only by ferry when it need to cross the special terrain like rivers and decrease of store service scope pose challenges. To address these issues, a non-moterizd vehcle-UAV collaborative model is proposed. With minimal economic cost, an optimizing UAV landing site selection is constructed while design-ing a genetic algorithm and introducing concern coefficients. Then a scheme considering the short-est path for motorized vehicles is gained. By implementing it in a case model, service coverage is enhanced by 66.93% while achieving a 26% cost reduction compared to traditional methods. These findings provide valuable insights for UAV companies and government decision-makers.