Drone-based vertical delivery system for high-rise buildings: Multiple drones vs. a single elevator

IF 12.5 Q1 TRANSPORTATION Communications in Transportation Research Pub Date : 2024-05-16 DOI:10.1016/j.commtr.2024.100130
Takahiro Ezaki , Kazuhiro Fujitsuka , Naoto Imura , Katsuhiro Nishinari
{"title":"Drone-based vertical delivery system for high-rise buildings: Multiple drones vs. a single elevator","authors":"Takahiro Ezaki ,&nbsp;Kazuhiro Fujitsuka ,&nbsp;Naoto Imura ,&nbsp;Katsuhiro Nishinari","doi":"10.1016/j.commtr.2024.100130","DOIUrl":null,"url":null,"abstract":"<div><p>As urbanization and high-rise living increase, frequent delivery of goods in the building to higher floors from the ground level is becoming a pressing issue. We introduce a drone-based vertical delivery system aimed at enhancing the efficiency of high-rise building logistics. The potential of the proposed system in reducing delivery time and energy consumption compared to conventional elevator-based delivery is analyzed. By assessing the requisite number of drones, their operating frequencies, and identifying scenarios in which drones can surpass conventional methods, the advantages using drone delivery systems are highlighted. The results indicate that drone delivery is not only viable but also advantageous to meet certain demand levels, offering a promising alternative to elevator-based deliveries.</p></div>","PeriodicalId":100292,"journal":{"name":"Communications in Transportation Research","volume":"4 ","pages":"Article 100130"},"PeriodicalIF":12.5000,"publicationDate":"2024-05-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S2772424724000131/pdfft?md5=fc87543dcf2fc30e62e3981c933b8eae&pid=1-s2.0-S2772424724000131-main.pdf","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Communications in Transportation Research","FirstCategoryId":"1085","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S2772424724000131","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"TRANSPORTATION","Score":null,"Total":0}
引用次数: 0

Abstract

As urbanization and high-rise living increase, frequent delivery of goods in the building to higher floors from the ground level is becoming a pressing issue. We introduce a drone-based vertical delivery system aimed at enhancing the efficiency of high-rise building logistics. The potential of the proposed system in reducing delivery time and energy consumption compared to conventional elevator-based delivery is analyzed. By assessing the requisite number of drones, their operating frequencies, and identifying scenarios in which drones can surpass conventional methods, the advantages using drone delivery systems are highlighted. The results indicate that drone delivery is not only viable but also advantageous to meet certain demand levels, offering a promising alternative to elevator-based deliveries.

查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
基于无人机的高层建筑垂直输送系统:多架无人机与单部电梯的对比
随着城市化和高层住宅的增多,频繁地将楼内货物从地面运送到更高楼层正成为一个紧迫的问题。我们介绍了一种基于无人机的垂直配送系统,旨在提高高层建筑物流的效率。与传统的电梯配送相比,我们分析了该系统在减少配送时间和能源消耗方面的潜力。通过评估所需的无人机数量、运行频率以及确定无人机可以超越传统方法的场景,突出了使用无人机送货系统的优势。结果表明,无人机送货不仅可行,而且在满足特定需求水平方面具有优势,为电梯送货提供了一种前景广阔的替代方案。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 去求助
来源期刊
CiteScore
15.20
自引率
0.00%
发文量
0
期刊最新文献
A systematic review of machine learning-based microscopic traffic flow models and simulations On the stochastic fundamental diagram: A general micro-macroscopic traffic flow modeling framework Drone to recharge electric vehicles: Operations, benefits, and challenges Integrating spatial-temporal risk maps with candidate trajectory trees for explainable autonomous driving planning Evaluation of accessibility disparities in urban areas during disruptive events based on transit real data
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1