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Vol. 177, Issue 8, August 2014, pp. 31-36

 

Bullet

 

Processes and Analysis of Vehicle Driving Data Based on Short Stroke Method
 

* Shupeng Zhao, Miao Tian, Runze Hao, Shifang Zhang, Ning Li

Agriculture University of Hebei of China, Bao Ding, China

1 E-mail: zspdoor@sohu.com

 

 

Received: 2 April 2014 /Accepted: 30 June 2014 /Published: 31 August 2014

Digital Sensors and Sensor Sysstems

 

Abstract: In order to build China's typical urban vehicle driving cycle, after collecting data with vehicle recorder, in this paper, short-stroke method use for data processing, thus obtain the kinematic sequence described by series eigenvalues. Then principal component analysis theory and cluster analysis theory was use to analyze the kinematics fragment. Through analysis and calculation for the characteristic value of kinematics segments, characteristic value variable was conducted a dimension reduction process, and the kinematics fragments are divided into three categories, on behalf of the low speed of the vehicle, medium speed and high speed working condition models respectively, laid the foundation for building the vehicle driving cycle.

 

Keywords: Eigenvalues, Segments of kinematics, Short stroke method, Principal component analysis, Cluster analysis.

 

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