Driving Intention Identification Based on Long Short-Term Memory and A Case Study in Shifting Strategy Optimization

Driving Intention Identification Based on Long Short-Term Memory and A Case Study in Shifting Strategy Optimization

Identification of driving intentions has increasingly attracted wide attention since it can be a valuable reference input of vehicle intelligent control systems. In this study, the long short-term memory (LSTM) is employed to identify the longitudinal intention online with high precision. To this en...

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Bibliographic Details
Main Authors: Yonggang Liu, Pan Zhao, Datong Qin, Guang Li, Zheng Chen, Yi Zhang
Format: Article
Language:English
Published: IEEE 2019-01-01
Series:IEEE Access
Subjects:
Driving intention
long short-term memory (LSTM)
back propagation neural network (BPNN)
dual clutch transmission (DCT)
shift strategy
fuel economy
Online Access:https://ieeexplore.ieee.org/document/8827465/

Internet

https://ieeexplore.ieee.org/document/8827465/

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