首页|城市物流无人机起飞时刻排序问题研究

城市物流无人机起飞时刻排序问题研究

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文中基于动态优先级计算了无人机起飞的时刻及起飞顺序.选取货物价值、收货点距离和最晚收货时间作为影响排序的主要因素,根据熵权法判断不同影响因素对物流订单优先级的影响程度,结合模糊聚类与三维优先级表调度规则判定物流订单的任务优先水平.并根据订单优先级设定延误成本系数,以最小总延误成本为目标构建物流无人机起飞时刻排序模型;提出相应的改进遗传算法对模型进行求解.数值仿真实验结果表明:所提方法可以安全高效地安排无人机起飞队列顺序,降低无人机配送的总延误成本.
Research on the Scheduling Problem of Urban Logistics UAV's Take-off Time
Based on the dynamic priority,the take-off time and take-off sequence of UAV were calculat-ed.The value of goods,the distance from the receiving point and the latest receiving time were select-ed as the main factors affecting the sequencing,and the influence degree of different influencing fac-tors on the priority of logistics orders was judged according to the entropy weight method.Fuzzy clus-tering and three-dimensional priority table scheduling rules were combined to determine the task prior-ity level of logistics orders.According to the order priority,the delay cost coefficient was set,and the take-off time sequencing model of logistics UAV was constructed with the minimum total delay cost as the goal,and the corresponding improved genetic algorithm was proposed to solve the model.The nu-merical simulation results show that the proposed method can safely and efficiently arrange the take-off queue of UAVs and reduce the total delay cost of UAV distribution.

urban transportationschedulinggenetic algorithmlogisticsunmanned aerial vehicles(UAV)

常静、张启钱、张洪海、刘文泉

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南京航空航天大学民航学院 南京 210016

南京航空航天大学通用航空与飞行学院 南京 213300

城市交通 排序问题 遗传算法 物流 无人机

国家自然科学基金

71971114

2024

武汉理工大学学报(交通科学与工程版)
武汉理工大学

武汉理工大学学报(交通科学与工程版)

CSTPCD
影响因子:0.462
ISSN:2095-3844
年,卷(期):2024.48(3)
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