Nuttaporn Phakdee, Wira Srimala, Kittisak Cheangakson, John Gatewood Ham, Athita Onuean
{"title":"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","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":"{\"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}","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}
Toward Suitable Area Coverage for Finding Battery Swapping Station Locations using GIS and Distance Function
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.
京公网安备 11010802042870号
京ICP备2023020795号-1
分享
求助内容：
应助结果提醒方式：
扫码关注我们
