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

Authors

Kong Yuan, 1. Smart-city research center of Hangzhou Dianzi University, Hangzhou 310018, China;;2. Department of Civil Engineering, Tsinghua University, Beijing 100084, China;
Yiman Du, 2. Department of Civil Engineering, Tsinghua University, Beijing 100084, China;
Jianping Wu, 1. Smart-city research center of Hangzhou Dianzi University, Hangzhou 310018, China;;2. Department of Civil Engineering, Tsinghua University, Beijing 100084, China;
Kezhen Hu, 2. Department of Civil Engineering, Tsinghua University, Beijing 100084, China;

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.

Recommended Citation

Yuan, Kong; Du, Yiman; Wu, Jianping; and Hu, Kezhen (2019) "Potential Users of Battery Electric Vehicle Based on Big Data of Floating Vehicles," Journal of System Simulation: Vol. 31: Iss. 3, Article 24.
DOI: 10.16182/j.issn1004731x.joss.17WJP-013E
Available at: https://dc-china-simulation.researchcommons.org/journal/vol31/iss3/24

First Page

575

DOI Link

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

Last Page

584

CLC

TP391.9

Recommended Citation

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.

DOI

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