Cargando…
A CNN-LSTM Car-Following Model Considering Generalization Ability
To explore the potential relationship between the leading vehicle and the following vehicle during car-following, we proposed a novel car-following model combining a convolutional neural network (CNN) with a long short-term memory (LSTM) network. Firstly, 400 car-following periods were extracted fro...
Autores principales: | Qin, Pinpin, Li, Hao, Li, Ziming, Guan, Weilai, He, Yuxin |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2023
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9863523/ https://www.ncbi.nlm.nih.gov/pubmed/36679458 http://dx.doi.org/10.3390/s23020660 |
Ejemplares similares
-
CNN-Bi-LSTM: A Complex Environment-Oriented Cattle Behavior Classification Network Based on the Fusion of CNN and Bi-LSTM
por: Gao, Guohong, et al.
Publicado: (2023) -
Detection of Corona Faults in Switchgear by Using 1D-CNN, LSTM, and 1D-CNN-LSTM Methods
por: Mohammed Alsumaidaee, Yaseen Ahmed, et al.
Publicado: (2023) -
CNN-LSTM vs. LSTM-CNN to Predict Power Flow Direction: A Case Study of the High-Voltage Subnet of Northeast Germany
por: Aksan, Fachrizal, et al.
Publicado: (2023) -
Intelligent automatic sleep staging model based on CNN and LSTM
por: Zhuang, Lan, et al.
Publicado: (2022) -
The Evaluation on the Credit Risk of Enterprises with the CNN-LSTM-ATT Model
por: Zhang, Lei
Publicado: (2022)