VTOL site location considering obstacle clearance during approach and departure

障碍物 整数规划 地理信息系统 运输工程 计算机科学 地理 运筹学 工程类 遥感 考古 算法
作者
Chenhao Guo,Jianxiong Nie,Xu Hang,Yanjun Wang,Yanyan Chen,Daniel Delahaye
出处
期刊:Communications in transportation research [Elsevier]
卷期号:4: 100118-100118 被引量:1
标识
DOI:10.1016/j.commtr.2024.100118
摘要

Urban air mobility (UAM) extends urban transportation to low-altitude airspace using electric vertical take-off and landing (eVTOL) vehicle to reduce traffic congestion. The vertical take-off and landing (VTOL) site connecting ground and air transport is the critical infrastructure of the UAM. Determining its locations is essential for the design and operation of the air route. This study focuses on the problem of the location of the VTOL site, using Shenzhen as the study area, and establishes an integer programming model with the objective of maximizing travel cost savings to identify the optimal locations of the VTOL sites. This study is different from existing ones in that it explicitly considers the three-dimensional spatial availability of VTOL sites. Geographic information system (GIS) tools are used to identify locations that satisfy two-dimensional (2D) planar availability, and an obstacle assessment model of the approach/departure and transitional surfaces of the VTOL site is built to further screen the locations. The selected potential sites are used as input to the integer programming model, ensuring that the locations identified to establish the VTOL site are optimal. The impact of the number of VTOL sites, the user's transfer time at the VTOL sites, and the eVTOL pricing on the model solution is also discussed. Although this study uses Shenzhen as a research object, the proposed methodology is generalized and applicable to any other city or region, providing recommendations and references for initial planning and related operations of the UAM in selected areas.

科研通智能强力驱动
Strongly Powered by AbleSci AI
科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
刚刚
刚刚
小橙子发布了新的文献求助10
刚刚
斯文败类应助薯片采纳,获得10
1秒前
领导范儿应助狂野善愁采纳,获得10
1秒前
上官若男应助Xu采纳,获得10
1秒前
1秒前
领导范儿应助纯真忆安采纳,获得10
2秒前
2秒前
杨知意完成签到,获得积分10
2秒前
赘婿应助wuhao1采纳,获得10
3秒前
852应助wxz1998采纳,获得10
3秒前
悲凉的大船完成签到,获得积分10
3秒前
达奚多思发布了新的文献求助10
3秒前
3秒前
4秒前
4秒前
戒骄戒躁发布了新的文献求助10
4秒前
Laurie完成签到,获得积分10
4秒前
含糊的玲完成签到,获得积分10
5秒前
量子星尘发布了新的文献求助10
6秒前
薯片完成签到,获得积分10
6秒前
123116011411完成签到,获得积分20
6秒前
6秒前
动听以晴发布了新的文献求助10
6秒前
慢慢发布了新的文献求助10
6秒前
SciGPT应助惠葶采纳,获得10
7秒前
7秒前
8秒前
tcf应助清雅采纳,获得10
8秒前
迷之XX完成签到,获得积分10
8秒前
科研通AI2S应助叶长安采纳,获得10
8秒前
8秒前
9秒前
lily发布了新的文献求助10
9秒前
jack1511发布了新的文献求助10
9秒前
2024011023发布了新的文献求助10
9秒前
KFjiatang完成签到,获得积分10
9秒前
mfy0068完成签到,获得积分10
9秒前
墨西哥猪肉卷完成签到,获得积分10
9秒前
高分求助中
(应助此贴封号)【重要!!请各用户(尤其是新用户)详细阅读】【科研通的精品贴汇总】 10000
Encyclopedia of Reproduction Third Edition 3000
《药学类医疗服务价格项目立项指南(征求意见稿)》 1000
花の香りの秘密―遺伝子情報から機能性まで 800
1st Edition Sports Rehabilitation and Training Multidisciplinary Perspectives By Richard Moss, Adam Gledhill 600
Chemistry and Biochemistry: Research Progress Vol. 7 430
Biotechnology Engineering 400
热门求助领域 (近24小时)
化学 材料科学 生物 医学 工程类 计算机科学 有机化学 物理 生物化学 纳米技术 复合材料 内科学 化学工程 人工智能 催化作用 遗传学 数学 基因 量子力学 物理化学
热门帖子
关注 科研通微信公众号,转发送积分 5629869
求助须知:如何正确求助?哪些是违规求助? 4720921
关于积分的说明 14971132
捐赠科研通 4787826
什么是DOI,文献DOI怎么找? 2556570
邀请新用户注册赠送积分活动 1517709
关于科研通互助平台的介绍 1478285