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

S. Shom, M. Alahmad
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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.
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确定州际/美国高速公路电气化交通基础设施的最佳位置
在特定城市或州内确定电动汽车充电基础设施的位置是成功部署电气化交通的关键因素。在本文中,开发了一种搜索算法,用于计算特定型号的电动汽车在特定州际公路或美国高速公路的两点之间行驶时充电基础设施的数量。该算法确定给定电动汽车的实际行驶里程,进而用于确定充电基础设施的数量。以美国内布拉斯加州为例,应用该算法确定给定电动汽车模型所需的停车位数量。进行了详细的分析,以确定覆盖区域的差距。然后,对选定的地点和城市应用优先排序方法。这样做是为了确保重点城市和高度可见的州际公路和美国高速公路走廊被选中,以促进该州的经济发展,并规划电动汽车的部署和渗透。
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