Toward Suitable Area Coverage for Finding Battery Swapping Station Locations using GIS and Distance Function

Nuttaporn Phakdee, Wira Srimala, Kittisak Cheangakson, John Gatewood Ham, Athita Onuean
{"title":"Toward Suitable Area Coverage for Finding Battery Swapping Station Locations using GIS and Distance Function","authors":"Nuttaporn Phakdee, Wira Srimala, Kittisak Cheangakson, John Gatewood Ham, Athita Onuean","doi":"10.1109/ICTC55196.2022.9952643","DOIUrl":null,"url":null,"abstract":"Electric vehicles (EVs) are becoming an increasingly popular and competitive option for clean transportation. However, the improper location of battery charging or swapping stations has impeded the adoption of electric vehicles. In this paper, we propose a distance function using Geographic Information System (GIS) techniques to find the proper station locations in order to provide optimized area coverage. The feasibility of this model is verified by simulation of station locations in Phuket, Thailand. The set coverage model proposed is a new solution to discover the optimal location for electric vehicle charging stations across Thailand. This study aims to provide a theoretical basis for the deployment of these new charging stations.","PeriodicalId":441404,"journal":{"name":"2022 13th International Conference on Information and Communication Technology Convergence (ICTC)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2022-10-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2022 13th International Conference on Information and Communication Technology Convergence (ICTC)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICTC55196.2022.9952643","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0

Abstract

Electric vehicles (EVs) are becoming an increasingly popular and competitive option for clean transportation. However, the improper location of battery charging or swapping stations has impeded the adoption of electric vehicles. In this paper, we propose a distance function using Geographic Information System (GIS) techniques to find the proper station locations in order to provide optimized area coverage. The feasibility of this model is verified by simulation of station locations in Phuket, Thailand. The set coverage model proposed is a new solution to discover the optimal location for electric vehicle charging stations across Thailand. This study aims to provide a theoretical basis for the deployment of these new charging stations.
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
利用地理信息系统和距离函数寻找电池更换站位置的合适覆盖区域研究
电动汽车(ev)正成为越来越受欢迎和竞争激烈的清洁交通选择。然而,电池充电或交换站的位置不当阻碍了电动汽车的采用。在本文中,我们提出了一个使用地理信息系统(GIS)技术的距离函数来找到合适的站点位置,以提供优化的区域覆盖。通过对泰国普吉岛站位的仿真,验证了该模型的可行性。提出的集合覆盖模型是一种新的解决方案,用于发现泰国各地电动汽车充电站的最佳位置。本研究旨在为这些新型充电站的部署提供理论依据。
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
自引率
0.00%
发文量
0
期刊最新文献
6G Integrated Sensing and Communication: Recent Results and Future Directions Analysis of Use Cases Enabling AI/ML to IOT Service Platforms A Study on ECG Monitoring Embedded Systems Development of Touch Interface Using LIDAR for Multi-user Interactions in Projection-based VR Self-Conditional Crowd Activity Detection Network with Multi-label Classification Head
×
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