The invention belongs to the technical field of automobiles, and particularly relates to a driving style identification algorithm based on factor analysis and machine learning. According to the driving style identification algorithm, firstly, data strongly related to a driving style are selected as driving style characteristic parameters, dimensionality reduction is conducted on the characteristicparameters through factor analysis to obtain public factors, redundancy between driving data is reduced, and corresponding physical significance is given to the public factors; the public factors aretaken as an input, and labels of corresponding driving styles are marked for different drivers by adopting a Gaussian mixture model clustering algorithm; and a driving style identification model is trained by using a back propagation neural network optimized by a genetic algorithm. By fusing unsupervised learning and supervised learning, the identification cost can be effectively reduced. The genetic algorithm is used for optimizing the initial weight of the back propagation neural network, so that the identification precision of the model can be effectively improved, and the blank that the driving style cannot be identified statically is filled.
本发明属于汽车技术领域,具体的说是一种基于因子分析和机器学习的驾驶风格辨识算法。该驾驶风格辨识算法首先挑选与驾驶风格强相关的数据作为驾驶风格特征参数,使用因子分析对特征参数进行降维获得公共因子,减少驾驶数据之间的冗余并为公共因子赋与相应的物理意义;以公共因子作为输入,采用高斯混合模型聚类算法为不同驾驶人打上对应的驾驶风格的标签;随后使用被遗传算法优化的反向传播神经网络训练驾驶风格辨识模型。通过将非监督学习和监督学习融合,能够有效的减少辨识的成本。使用遗传算法优化反向传播神经网络的初始权重能够有效的提高模型的辨识精度,填补了现有无法静确辨识驾驶风格的空白。
Driving style identification algorithm based on factor analysis and machine learning
一种基于因子分析和机器学习的驾驶风格辨识算法
2020-12-08
Patent
Electronic Resource
Chinese
IPC: | B60W CONJOINT CONTROL OF VEHICLE SUB-UNITS OF DIFFERENT TYPE OR DIFFERENT FUNCTION , Gemeinsame Steuerung oder Regelung von Fahrzeug-Unteraggregaten verschiedenen Typs oder verschiedener Funktion |
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