@inproceedings{268d5a07528442ac97219a0d46daa752,
title = "A research on driving cycle for electric cars in beijing",
abstract = "In this paper, the driving cycle for electric cars in Beijing is investigated. Firstly a reasonable experimental scheme is made, in which several electric cars are selected and a new type of data collection transmission and management system based on GPRS communication is used. Then the obtained data is preprocessed and divided into mi-crotrips, and many characteristic parameters are selected. Finally, a representative driving cycle of electric cars for the typical roads in Beijing is worked out by principal component analysis and k-means clustering method. And compared with the test data, the results show that the fitted driving cycle can represent the overall traffic condition of electric cars in Beijing.",
keywords = "Driving Cycle, Electric Car, K-means Clustering",
author = "Fei Zhang and Fen Guo and Hong Huang",
note = "Publisher Copyright: {\textcopyright} 2016 IEEE.; 28th Chinese Control and Decision Conference, CCDC 2016 ; Conference date: 28-05-2016 Through 30-05-2016",
year = "2016",
month = aug,
day = "3",
doi = "10.1109/CCDC.2016.7531786",
language = "English",
series = "Proceedings of the 28th Chinese Control and Decision Conference, CCDC 2016",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "4450--4455",
booktitle = "Proceedings of the 28th Chinese Control and Decision Conference, CCDC 2016",
address = "United States",
}