城区物流无人机起降场选址问题研究
Research on the Location of Urban UAV Logistics Take-off and Landing Field
覃睿 1杨智博1
作者信息
- 1. 中国民航大学 交通科学与工程学院,天津
- 折叠
摘要
本文综合考虑无人机运行限制和起降场特点,归纳了选址影响因素.提出一种两阶段选址方法:首先利用k-means聚类算法结合AHP和TOPSIS方法初步筛选潜在起降场址;然后建立多目标优化模型,求解得到较优方案.以天津市和平区为例验证了方法的可行性和有效性.
Abstract
In this paper,the factors affecting the location selection are summarized by considering the op eration restrictions of UAV and the characteristics of landing field.A two-stage location selection method is proposed.Firstly,k-means clustering algorithm combined with AHP and TOPSIS methods is used to screen potential landing sites.Then a multi-objective optimization model is established and the optimal solution is obtained.Taking Heping District of Tianjin as an example,the feasibility and effectiveness of the method are verified.
关键词
物流无人机/起降场选址/末端物流/聚类/综合评价Key words
logistics drone/location of take-off and landing field/end logistics/cluster/comprehensive evaluation引用本文复制引用
出版年
2024
NETL
NSTL
万方数据