Learning Car-Following Behaviors for a Connected Automated Vehicle System: An Improved Sequence-to-Sequence Deep Learning Model

Data-driven car-following modeling is of great significance to traffic behavior analysis and the development of connected automated vehicle (CAV) technology. The existing researches focus on reproducing the car-following process by capturing the behavior of the host vehicle using the information of...

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Bibliographic Details

Published in:	IEEE Access
Main Authors:	Wenqi Lu, Ziwei Yi, Bingjie Liang, Yikang Rui, Bin Ran
Format:	Article
Language:	English
Published:	IEEE 2023-01-01
Subjects:	Car-following modeling improved sequence-to-sequence model information flow topology gated recurrent unit neural network connected automated vehicle
Online Access:	https://ieeexplore.ieee.org/document/10041142/