{"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}
引用次数: 3
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.