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张玉西,苏小会,高广棵,等. 改进主成分和K-均值聚类的行驶工况[J]. 科学技术与工程, 2021, 21(8): 3199-3205.
苏小会,苏小会,高广棵,et al.Research on Driving Conditions Based on Improved Principal Component and K-means Clustering[J].Science Technology and Engineering,2021,21(8):3199-3205.
改进主成分和K-均值聚类的行驶工况
Research on Driving Conditions Based on Improved Principal Component and K-means Clustering
投稿时间:2019-12-04  修订日期:2020-12-07
DOI:
中文关键词:  改进主成分分析  改进K-均值聚类  距离优化法  密度法
英文关键词:improve principal component analysis  improved K-means clustering  distance optimization  density method
基金项目:国家地方联合工程实验室(GSYSJ2018012);陕西省教育厅专项科学研究计划(17JK0381)
           
作者单位
张玉西 西安工业大学
苏小会 西安工业大学
高广棵 西安工业大学
尚煜 西安工业大学
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中文摘要:
      为构建行驶工况,消除K-均值算法对初始聚类中心的敏感性及噪声点的干扰,本文提出一种改进主成分分析和基于密度的改进K-均值聚类组合方法。结合距离优化法和密度法,构建了一种数据集密度度量方法。本文选取距离较大、密度较高的数据点作为初始聚类中心与候选集,优化聚类结果的同时剔除了孤立点,采用较大贡献因子的特征值进行工况合成,最后对行驶工况油耗分析。结果表明:所提方法构建行驶工况的速度-加速度联合分布差异值为1.17%,特征参数平均相对误差较小。可见,合成的行驶工况能够很好地反映某地实际交通道路特征,拟合度较高。
英文摘要:
      In order to construct driving conditions and eliminate the interference of K-means algorithm on initial clustering center sensitivity and noise points, this paper proposes an improved principal component analysis and an improved K-means clustering method based on density. Combining distance optimization method and density method, a data set density measurement method is con-structed. In this paper, data points with a larger distance and a higher density are selected as the initial clustering center and candidate set, the outliers are eliminated while optimizing the clustering results, and the eigenvalues of larger contribution factors are used to synthesize operating conditions, and finally the driving conditions Fuel consumption analysis. The results show that the difference value of the joint speed-acceleration distribution of the driving conditions constructed by the proposed method is 1.17%, and the average relative error of the characteristic parameters is small. It can be seen that the synthesized driving conditions can well reflect the characteristics of the actual traffic road in a certain place, and the degree of fit is high.
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