Processes and Analysis of Vehicle Driving Data Based on Short Stroke Method
نویسندگان
چکیده
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. Copyright © 2014 IFSA Publishing, S. L.
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