Application of conditional generative adversarial network to multi-step car-following modeling

Car-following modeling is essential in the longitudinal control for connected and autonomous vehicles (CAVs). Considering the advantage of the generative adversarial network (GAN) in capturing realistic data distribution, this paper applies conditional GAN (CGAN) to car-following modeling. The gener...

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Detalles Bibliográficos
Autores principales: Ma, Lijing, Qu, Shiru
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2023
Materias:
Neuroscience
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10076580/
https://www.ncbi.nlm.nih.gov/pubmed/37033415
http://dx.doi.org/10.3389/fnbot.2023.1148892

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10076580/
https://www.ncbi.nlm.nih.gov/pubmed/37033415
http://dx.doi.org/10.3389/fnbot.2023.1148892

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