无人机
旅行商问题
卡车
启发式
计算机科学
数学优化
自动化
整数(计算机科学)
整数规划
运筹学
实时计算
模拟
工程类
人工智能
数学
算法
航空航天工程
生物
机械工程
遗传学
程序设计语言
作者
Chase Murray,Ritwik Raj
标识
DOI:10.1016/j.trc.2019.11.003
摘要
This paper considers a last-mile delivery system in which a delivery truck operates in coordination with a fleet of unmanned aerial vehicles (UAVs, or drones). Deploying UAVs from the truck enables customers located further from the depot to receive drone-based deliveries. The problem is first formulated as a mixed integer linear program (MILP). However, owing to the computational complexity of this problem, only trivially-sized problems may be solved directly via the MILP. Thus, a heuristic solution approach that consists of solving a sequence of three subproblems is proposed. Extensive numerical testing demonstrates that this approach effectively solves problems of practical size within reasonable runtimes. Additional analysis quantifies the potential time savings associated with employing multiple UAVs. The analysis also reveals that additional UAVs may have diminishing marginal returns. An analysis of five different endurance models demonstrates the effects of these models on UAV assignments. The model and heuristic also support anticipated future systems that feature automation for UAV launch and retrieval.
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