{"title":"确定州际/美国高速公路电气化交通基础设施的最佳位置","authors":"S. Shom, M. Alahmad","doi":"10.1109/CEWIT.2017.8263302","DOIUrl":null,"url":null,"abstract":"Determining electric vehicle charging infrastructure locations within a particular city or state is a key factor for a successful electrified transportation deployment. In this paper, a search algorithm is developed to calculate the number of charging infrastructure locations for a particular model of an electric vehicle when traveling between two points on a particular Interstate or US-Highway. The algorithm determines the actual mileage a given electric vehicle will travel, which in turn is used to determine the number of charging infrastructure locations. This algorithm is applied as a case study to determine the number of locations needed for a given electric vehicle model in Nebraska state, USA. Detailed analysis are conducted to identify gaps in the coverage area. Then, a prioritization method is applied to the selected locations and cities. This is done to insure key cities and highly visible Interstates and US-Highway corridors are selected for advancement of the State’s economy and planning for deployment and penetrations of electric vehicle expansion.","PeriodicalId":129601,"journal":{"name":"2017 13th International Conference and Expo on Emerging Technologies for a Smarter World (CEWIT)","volume":"48 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2017-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"3","resultStr":"{\"title\":\"Determining optimal locations of electrified transportation infrastructure on interstate/ us-highways\",\"authors\":\"S. Shom, M. Alahmad\",\"doi\":\"10.1109/CEWIT.2017.8263302\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Determining electric vehicle charging infrastructure locations within a particular city or state is a key factor for a successful electrified transportation deployment. In this paper, a search algorithm is developed to calculate the number of charging infrastructure locations for a particular model of an electric vehicle when traveling between two points on a particular Interstate or US-Highway. The algorithm determines the actual mileage a given electric vehicle will travel, which in turn is used to determine the number of charging infrastructure locations. This algorithm is applied as a case study to determine the number of locations needed for a given electric vehicle model in Nebraska state, USA. Detailed analysis are conducted to identify gaps in the coverage area. Then, a prioritization method is applied to the selected locations and cities. This is done to insure key cities and highly visible Interstates and US-Highway corridors are selected for advancement of the State’s economy and planning for deployment and penetrations of electric vehicle expansion.\",\"PeriodicalId\":129601,\"journal\":{\"name\":\"2017 13th International Conference and Expo on Emerging Technologies for a Smarter World (CEWIT)\",\"volume\":\"48 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2017-11-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"3\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2017 13th International Conference and Expo on Emerging Technologies for a Smarter World (CEWIT)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/CEWIT.2017.8263302\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2017 13th International Conference and Expo on Emerging Technologies for a Smarter World (CEWIT)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/CEWIT.2017.8263302","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Determining optimal locations of electrified transportation infrastructure on interstate/ us-highways
Determining electric vehicle charging infrastructure locations within a particular city or state is a key factor for a successful electrified transportation deployment. In this paper, a search algorithm is developed to calculate the number of charging infrastructure locations for a particular model of an electric vehicle when traveling between two points on a particular Interstate or US-Highway. The algorithm determines the actual mileage a given electric vehicle will travel, which in turn is used to determine the number of charging infrastructure locations. This algorithm is applied as a case study to determine the number of locations needed for a given electric vehicle model in Nebraska state, USA. Detailed analysis are conducted to identify gaps in the coverage area. Then, a prioritization method is applied to the selected locations and cities. This is done to insure key cities and highly visible Interstates and US-Highway corridors are selected for advancement of the State’s economy and planning for deployment and penetrations of electric vehicle expansion.