CNN-LSTM Driving Style Classification Model Based on Driver Operation Time Series Data

CNN-LSTM Driving Style Classification Model Based on Driver Operation Time Series Data

This paper aims to establish a driving style recognition method that is highly accurate, fast and generalizable, considering the lack of data types in driving style classification task and the low recognition accuracy of widely used unsupervised clustering algorithms and single convolutional neural...

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Bibliographic Details
Main Authors: Yingfeng Cai, Ruidong Zhao, Hai Wang, Long Chen, Yubo Lian, Yilin Zhong
Format: Article
Language:English
Published: IEEE 2023-01-01
Series:IEEE Access
Subjects:
Convolutional neural network (CNN)
driving style classification
LSTM
neural network
time series data
Online Access:https://ieeexplore.ieee.org/document/10044645/

Internet

https://ieeexplore.ieee.org/document/10044645/

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