Computer Engineering and Applications ›› 2021, Vol. 57 ›› Issue (10): 266-272.DOI: 10.3778/j.issn.1002-8331.2003-0433

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Location Model of Automatic Airport Partitioning for Unmanned Aerial Vehicles Under Urban Instant Delivery

REN Xinhui, WANG Liu   

  1. College of Economics and Management, Civil Aviation University of China, Tianjin 300300, China
  • Online:2021-05-15 Published:2021-05-10

即时配送下无人机全自动机场分区选址模型

任新惠,王柳   

  1. 中国民航大学 经济与管理学院,天津 300300

Abstract:

With the rapid time-consuming distribution boom brought by the rapid development of urban instant distribution and the catering industry, the contradiction between the delivery staff’s own safety and the distribution efficiency has sharply stood out. A new model on Unmanned Aerial Vehicles(UAV) instant distribution with both safety and efficiency cames into being. UAV fully automated airports are the place to go for zero-contact distribution. Based on the constraints of the characteristics of the UAV and the fully automatic airport of the UAV, a location selection model with the shortest pickup time as the goal is established, the location of the UAV automatic airport is determined, and the number of airports is determined according to the queuing theory. With the decrease of the customer’s pickup distance for the UAV automatic airport, the number of drone airport locations will increase accordingly, and the number of airports at each location will decrease, and the corresponding customers will The waiting time in front of the airport will gradually increase.

Key words: UAV distribution, automatic airport for UAV, location?selection, city instant delivery

摘要:

随着城市即时配送及餐饮业迅猛发展带来的高时效性配送热潮,配送员自身安全及配送效率的矛盾急剧突出,一种兼具安全与效率的无人机即时配送新模式应运而生。无人机全自动机场正是实现零接触式配送的落脚点。基于无人机及无人机全自动机场自身特性的约束,构建以取货时间最短为目标的选址模型,确定无人机全自动机场的选址位置及根据排队论确定机场数量。随着顾客对于无人机全自动机场取货距离的减小,无人机机场选址位置的数量也会相应增加,而每个选址位置下的机场数目变少,相对应的顾客在无人机机场前的排队等候时间会逐渐上升。

关键词: 无人机配送, 无人机全自动机场, 分区选址模型, 城市即时配送