@inproceedings{f8f23447cf5c4585a169e2d1118b10c6,
title = "Analysis of Charging Behavior Based on the Data of Private Electric Cars in Beijing",
abstract = "The development of electric vehicles is occurring rapidly and demand for charging capacity is also increasing, so it is of great practical significance to study the charging behavior of electric vehicles (EVs). Based on the data of private electric cars in Beijing, this paper has extracted trip chains of EVs, considering a variety of potential influencing factors, and used different numbers to represent different charging behavior, then established two models: a kind of binomial logistic model (0-1/0-2 model) for single charging behavior and a kind of multiple logistic model (0-1-2 model) for non-single charging behavior. Comparing the two models, the results showed that the former model is better. This research will help to enrich research on charging prediction considering multiple charging options, and also be good for EVs drivers to make better charging decisions.",
author = "Haiyang Yu and Gangxin Jiao and Yilong Ren and Lu Zhang",
note = "Publisher Copyright: {\textcopyright} 2020 ASCE.; 20th COTA International Conference of Transportation Professionals: Transportation Evolution Impacting Future Mobility, CICTP 2020 ; Conference date: 14-08-2020 Through 16-08-2020",
year = "2020",
language = "英语",
series = "CICTP 2020: Transportation Evolution Impacting Future Mobility - Selected Papers from the 20th COTA International Conference of Transportation Professionals",
publisher = "American Society of Civil Engineers (ASCE)",
pages = "2648--2660",
editor = "Heng Wei and Haizhong Wang and Lei Zhang and Yisheng An and Xiangmo Zhao",
booktitle = "CICTP 2020",
address = "美国",
}