{"title":"基于车辆登记信息和GIS数据的公共电动汽车充电器数量实用估算","authors":"Pokpong Prakobkaew, S. Sirisumrannukul","doi":"10.1109/SPIES52282.2021.9633894","DOIUrl":null,"url":null,"abstract":"This paper proposes practical methodologies to estimate the number of public electric vehicle chargers for passenger cars in a selected area by utilizing their registration information and available geographic information system (GIS) data. The vehicle registration information is used to forecast the number of electric vehicles (EVs) in the area, while the GIS data are used to represent the whereabouts of electric vehicles. The number of EVs can be representatively characterized by the size of areas and the length of roads. The area-based approach requires fewer data and less computing effort and therefore is suitable for a broad overview of estimation, especially for urban areas. While the road-based approach gives more reasonable results for countryside areas such as a land with mountains and forests. The proposed methodologies are demonstrated by the area of Phuket, one of the provinces in the southern part of Thailand.","PeriodicalId":411512,"journal":{"name":"2021 3rd International Conference on Smart Power & Internet Energy Systems (SPIES)","volume":"12 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2021-09-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Practical Estimation of Number of Public Electric Vehicle Chargers by Utilizing Vehicle Registration Information and GIS Data\",\"authors\":\"Pokpong Prakobkaew, S. Sirisumrannukul\",\"doi\":\"10.1109/SPIES52282.2021.9633894\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This paper proposes practical methodologies to estimate the number of public electric vehicle chargers for passenger cars in a selected area by utilizing their registration information and available geographic information system (GIS) data. The vehicle registration information is used to forecast the number of electric vehicles (EVs) in the area, while the GIS data are used to represent the whereabouts of electric vehicles. The number of EVs can be representatively characterized by the size of areas and the length of roads. The area-based approach requires fewer data and less computing effort and therefore is suitable for a broad overview of estimation, especially for urban areas. While the road-based approach gives more reasonable results for countryside areas such as a land with mountains and forests. The proposed methodologies are demonstrated by the area of Phuket, one of the provinces in the southern part of Thailand.\",\"PeriodicalId\":411512,\"journal\":{\"name\":\"2021 3rd International Conference on Smart Power & Internet Energy Systems (SPIES)\",\"volume\":\"12 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2021-09-25\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2021 3rd International Conference on Smart Power & Internet Energy Systems (SPIES)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/SPIES52282.2021.9633894\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2021 3rd International Conference on Smart Power & Internet Energy Systems (SPIES)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/SPIES52282.2021.9633894","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Practical Estimation of Number of Public Electric Vehicle Chargers by Utilizing Vehicle Registration Information and GIS Data
This paper proposes practical methodologies to estimate the number of public electric vehicle chargers for passenger cars in a selected area by utilizing their registration information and available geographic information system (GIS) data. The vehicle registration information is used to forecast the number of electric vehicles (EVs) in the area, while the GIS data are used to represent the whereabouts of electric vehicles. The number of EVs can be representatively characterized by the size of areas and the length of roads. The area-based approach requires fewer data and less computing effort and therefore is suitable for a broad overview of estimation, especially for urban areas. While the road-based approach gives more reasonable results for countryside areas such as a land with mountains and forests. The proposed methodologies are demonstrated by the area of Phuket, one of the provinces in the southern part of Thailand.