A CNN-LSTM Car-Following Model Considering Generalization Ability

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...

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Bibliographic Details
Main Authors:	Pinpin Qin, Hao Li, Ziming Li, Weilai Guan, Yuxin He
Format:	Article
Language:	English
Published:	MDPI AG 2023-01-01
Series:	Sensors
Subjects:	car-following convolution neural network-long short-term memory traffic flow theory intelligent driving generalization ability
Online Access:	https://www.mdpi.com/1424-8220/23/2/660

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