An Improved Method of Vehicle Driving Cycle Construction: A Case Study of Beijing

DOI

10.2991/ifeesd-16.2016.151How to use a DOI?

Keywords

Driving Cycle Development; Micro-trips; Principal Component Analysis; K-means Clustering Analysis

Abstract

The traditional vehicle driving cycle construction method is to use a random method to choose the cycle segments, which is lack of reliability and accuracy. In order to solve the problems of the traditional construction method, an improved methodology for developing a representative driving cycle for Beijing city was proposed in this paper. The methodology included four parts: data acquisition, kinematic sequences division, candidate segments classification and final segments selection. In the process of candidate cycle selection, we adopted a method based on the minimum characteristic parameters deviation to choose the final segments to construct driving cycle. The results indicate that this method can further improves the representativeness of the resultant driving cycle.

Copyright

© 2016, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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TY  - CONF
AU  - Zhenpo Wang
AU  - Yang Li
AU  - Hao Luo
AU  - Xue Xue
PY  - 2016/05
DA  - 2016/05
TI  - An Improved Method of Vehicle Driving Cycle Construction: A Case Study of Beijing
BT  - Proceedings of the 2016 International Forum on Energy, Environment and Sustainable Development
PB  - Atlantis Press
SP  - 832
EP  - 838
SN  - 2352-5401
UR  - https://doi.org/10.2991/ifeesd-16.2016.151
DO  - 10.2991/ifeesd-16.2016.151
ID  - Wang2016/05
ER  -