LSTM‐based deep learning framework for adaptive identifying eco‐driving on intelligent vehicle multivariate time‐series data

LSTM‐based deep learning framework for adaptive identifying eco‐driving on intelligent vehicle multivariate time‐series data

Abstract In the context of automated driving, the connected and automated vehicles (CAVs) technology unlock the energy saving potential. This paper develops an LSTM‐based deep learning framework for eco‐driving adaptive identification on Intelligent vehicle multivariate time series data. The framewo...

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Bibliographic Details
Main Authors: Lixin Yan, Le Jia, Shan Lu, Liqun Peng, Yi He
Format: Article
Language:English
Published: Wiley 2024-01-01
Series:IET Intelligent Transport Systems
Subjects:
classification model
eco‐driving
driving behavior
 deep learning
multivariate time series
Online Access:https://doi.org/10.1049/itr2.12443

Internet

https://doi.org/10.1049/itr2.12443

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