Start Date
12-18-2013
Description
Electric vehicles (EV) have become one of the most promising transportation alternatives in recent years. Due to continuously increasing gas prices and CO2 taxes, while at the same time subsidies of electrified cars run into millions, many countries such as the USA, UK, and Germany intend to bring large amounts of EVs onto their roads in the near future. As a prerequisite, an adequate charging infrastructure is needed to supply these vehicles with electrical fuel. In this paper we present a point of interest based business intelligence system to determine the optimal locations for charging stations. The underlying methodology is exploiting the potential of Big Data by analyzing and evaluating real charging sessions on the one hand and urban trip destination for vehicle owners on the other hand. Based on that, we formulate schemes to calculate an optimal charging infrastructure. A case study for Amsterdam and Brussels validates our results.
Recommended Citation
Wagner, Sebastian; Götzinger, Markus; and Neumann, Dirk, "Optimal location of charging stations in smart cities: A points of interest based approach" (2013). ICIS 2013 Proceedings. 12.
https://aisel.aisnet.org/icis2013/proceedings/BreakthroughIdeas/12
Optimal location of charging stations in smart cities: A points of interest based approach
Electric vehicles (EV) have become one of the most promising transportation alternatives in recent years. Due to continuously increasing gas prices and CO2 taxes, while at the same time subsidies of electrified cars run into millions, many countries such as the USA, UK, and Germany intend to bring large amounts of EVs onto their roads in the near future. As a prerequisite, an adequate charging infrastructure is needed to supply these vehicles with electrical fuel. In this paper we present a point of interest based business intelligence system to determine the optimal locations for charging stations. The underlying methodology is exploiting the potential of Big Data by analyzing and evaluating real charging sessions on the one hand and urban trip destination for vehicle owners on the other hand. Based on that, we formulate schemes to calculate an optimal charging infrastructure. A case study for Amsterdam and Brussels validates our results.