Potential Users of Battery Electric Vehicle Based on Big Data of Floating Vehicles

doi:10.16182/j.issn1004731x.joss.17WJP-013E

Abstract

Abstract: Nowadays, the Chinese government is strongly pushing the adoption of new energy vehicles, so it is of great significance to find the most suitable users of EV (Electric Vehicle). This paper did a data mining work to find out target user group of EV based on two-month traveling data, driver information and vehicle attribute information of 12,000 floating vehicles in Beijing. The results show that residential area is more suitable to push the adoption of EV than other functional areas; adding charging piles in the destination area can turn the 9.2% of drivers who are not suitable for EV due to the maximum mileage into the potential users.

Key words: electric vehicle, big data of floating vehicles, potential user, travel behavior, travel distance

CLC Number:

TP391.9

Kong Yuan, Du Yiman, Wu Jianping, Hu Kezhen. Potential Users of Battery Electric Vehicle Based on Big Data of Floating Vehicles[J]. Journal of System Simulation, 2019, 31(3): 575-584.

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