Determining optimal locations of electrified transportation infrastructure on interstate/ us-highways

2017 13th International Conference and Expo on Emerging Technologies for a Smarter World (CEWIT)(2017)

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摘要
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.
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关键词
optimal locations,electrified transportation infrastructure,search algorithm,particular model,selected locations,US-Highway corridors,electric vehicle expansion,electric vehicle model,interstate highways,electrified transportation deployment,charging infrastructure locations,prioritization method
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