Classification and recognition model of entering and leaving stops' driving style considering energy consumption

被引：0
|
作者：
Zhang Y.-L. [1 ]
Fu R. [1 ]
Yuan W. [1 ]
Guo Y.-S. [1 ]
机构：
[1] School of Automobile, Chang'an University, Xi'an
来源：
Jilin Daxue Xuebao (Gongxueban)/Journal of Jilin University (Engineering and Technology Edition) | 2023年 / 53卷 / 07期
关键词：
clustering; driving behavior; ecological driving style; energy economy; online identification model; traffic engineering;
D O I：
10.13229/j.cnki.jdxbgxb.20211000
中图分类号：
学科分类号：
摘要：
To realize the classification and recognition of entering and leaving stops′driving styles，based on the entering and leaving stops data in the natural driving process of pure electric bus，14 driving behavior characterization indexes were selected，the dimension of the indexes is reduced by principal component analysis，and a K-means clustering model was established to cluster the entering and leaving stops segments into three categories. Taking economy，dynamic and comfort as the three dimensions of semantic interpretation，the three types were interpreted as high energy consumption & aggressive style，general style and energy-saving & comfort style. A three-layer BP neural network model was established to realize the on-line recognition of driving style. The model verification showed that the evaluation index values of the recognition model are near 0，and the average recognition rate of the model is 93.52%，which can better realize the driving style recognition of any entering and leaving stops segment. © 2023 Editorial Board of Jilin University. All rights reserved.
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页码：2029 / 2042
页数：13
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