Research on Driving Cycle of Long-distance Passenger Vehicles Based on Principal Component Analysis and Cluster Algorithm
- Resource Type
- Article
Text
- Authors
- Yingji Liu; Jingyi Li; Bo Shen
- Source
- International Journal of Control and Automation, 03/30/2014, Vol. 7, Issue 3, p. 125-136
- Subject
- Language
- 영어(ENG)
- ISSN
- 2005-4297
In order to get the vehicle' actual driving mode in a different road conditions, the driving data is divided into kinematic sequence for analysis of driving cycle. On the basis of kinematics fragments, the characteristic parameters of kinematic sequence are carried out with the principal component analysis. Then driving cycle are synthesized based on dynamic clustering algorithm analysis to get the vehicle' driving state in different road conditions.