基于浮动车大数据的电动汽车潜在用户分析

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

系统仿真学报 ›› 2019, Vol. 31 ›› Issue (3): 575-584.doi: 10.16182/j.issn1004731x.joss.17WJP-013E

基于浮动车大数据的电动汽车潜在用户分析

孔源^1,2, 杜怡曼², 吴建平^1,2, 胡可臻²

1. 杭州电子科技大学智慧城市研究中心,杭州 310018;
2. 清华大学土木工程系,北京 100084

收稿日期:2016-12-13 发布日期:2019-11-20

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

Kong Yuan^1,2, Du Yiman², Wu Jianping^1,2, Hu Kezhen²

1. Smart-city research center of Hangzhou Dianzi University, Hangzhou 310018, China;
2. Department of Civil Engineering, Tsinghua University, Beijing 100084, China

Received:2016-12-13 Published:2019-11-20
About author:Yuan Kong(1985-), male, Henan, Ph.D. candidate, Research direction: ITS, Big Data; Du Yiman(1977-), female, Sichuan, Ph.D., Research direction:traffic simulation; Wu Jianping(1957-), male, Zhejiang, PH.D., professor, Research direction:traffic modeling.

摘要/Abstract

摘要： 在当前中国大力推动发展新能源汽车的政策背景下,发现最适合使用电动汽车的目标用户具有十分重要的意义。该研究基于北京地区12 000辆浮动车历时两个月的海量行驶数据,结合相应的驾驶员信息、汽车属性信息等,交叉探索居民的出行特性,分析适合使用电动汽车的用户群体。数据分析结果表明主要功能为居住的城市区域相对其他类型的功能区更适合推广电动汽车;如果在目的地区域设置充电桩,可使约9.2%的本来不适合使用电动汽车的用户成为电动汽车的潜在用户。

关键词: 电动汽车, 浮动车大数据, 潜在用户, 出行行为, 出行距离

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

中图分类号:

TP391.9

孔源, 杜怡曼, 吴建平, 胡可臻. 基于浮动车大数据的电动汽车潜在用户分析[J]. 系统仿真学报, 2019, 31(3): 575-584.

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.

参考文献

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基于浮动车大数据的电动汽车潜在用户分析

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

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