无人机
卡车
计算机科学
航空学
运筹学
航空航天工程
工程类
生物
遗传学
作者
Bing Han,Tianze Chi,Zhengyi Sun
摘要
Abstract Drones are gradually being used in logistics, and collaborative systems combining trucks and drones are proposed for last‐mile delivery. Therefore, it is a meaningful study to improve the efficiency of collaborative delivery of truck–drone system. Based on the truck–drone collaborative delivery problem with en‐route operations, this paper introduces a new concept of flexible launch point, which is to set up multiple non‐customer stops in the truck's route for launching drones. In light of this concept, an en‐route operation with flexible positions in the truck–drone collaborative delivery problem is proposed. The problem is formulated as a mixed integer linear program that aims to minimize customer waiting times, determine the optimal route for the truck with multi‐drones, and establish the optimal flexible launch positions for the drones. We developed a variable neighborhood search algorithm and conducted large‐scale experiments. The experiments have demonstrated that the new collaborative approach maximizes drone utilization, expands the range of drone services, and ensures flexible launch. The en‐route operation with flexible launch positions presented in this paper provides innovative ideas for further application of trucks with multi‐drones in last‐mile delivery. This is also relevant for other scenarios, such as emergency management and routine inspections, which involve collaboration between trucks and drones.
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