Int J Performability Eng ›› 2020, Vol. 16 ›› Issue (10): 1579-1587.doi: 10.23940/ijpe.20.10.p9.15791587

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A New Method for the Development of the Driving Cycle for Light-Duty Vehicles

Jiarui Chena, Baoqin Chena, and Sheng Lia,b,*   

  1. aFaculty of Mathematics and Computer Science, Guangdong Ocean University, Zhanjiang, 524088, China;
    bSouthern Marine Science and Engineering Guangdong Laboratory (Zhanjiang), Zhanjiang, 524088, China
  • Submitted on ; Revised on ; Accepted on
  • Contact: * E-mail address: lish ls@sina.com
  • About author:Jiarui Chen is a postgraduate student majoring in computer science and technology. His research interests include supervised machine learning and data analysis.
    Baoqin Chen is an associate professor in mathematics and computer science at Guangdong Ocean University. Her research interests include data analysis and complex analysis.
    Sheng Li is an associate research fellow in mathematics and computer science at Guangdong Ocean University. His research interests include data analysis and complex analysis.

Abstract: To construct a representative driving cycle for light-duty vehicle, a new method has been proposed based on the PCA and t-SNE algorithm and K-means clustering algorithm in this paper. This method not only greatly reduces the computational pressure, but also retains more useful nonlinear characteristic information. It shows that the speed-acceleration frequency distribution of the driving cycle is basically consistent with the sample data with a relative error within ±4%, and the average relative error of the overall characteristic parameters is about 3.21%. These indicate the effectiveness and accuracy of our new method.

Key words: light-duty vehicle, driving cycle, t-SNE, silhouette equation