即时
灵活性(工程)
计算机科学
经济短缺
任务(项目管理)
平面图(考古学)
即时消息
运筹学
服务(商务)
风险分析(工程)
系统工程
工程类
业务
万维网
统计
数学
语言学
量子力学
政府(语言学)
历史
考古
营销
哲学
物理
作者
Yan Pan,Junhui Gao,Jiashun Duan,Juan Shi,Bin Guo,Yunji Liang,Yujiao Hu
摘要
Instant delivery, which has a strict time limit, has become a fundamental service in modern cities. Increasing demands and labor shortages make efficient instant delivery more challenging. Recently, the industry has recruited Unmanned Aerial Vehicles (UAVs) and part-time couriers to address this critical issue. However, the inherent delivery ability of crowdsourced couriers and the limited battery capacity of UAVs make them hard to solely meet the rapidly increasing instant delivery demands. Therefore, this paper proposes the first air-ground cooperative UAV and Courier Delivery paradigm, called UCD, to develop an optimal courier recruitment plan and assignment of instant delivery tasks for UAVs and couriers. In the UCD paradigm, courier and UAV delivery models are introduced, and a recruitment plan that considers both delivery demand and courier availability is designed. With this foundation, a data-driven algorithm is proposed to optimize delivery task assignments, maximizing the flexibility of UAVs and the capacity of couriers. Comprehensive evaluations are conducted on multiple long-term real-world datasets to demonstrate the superior performance of UCD.
科研通智能强力驱动
Strongly Powered by AbleSci AI