Modeling Car-Following Behaviors and Driving Styles with Generative Adversarial Imitation Learning

Building a human-like car-following model that can accurately simulate drivers’ car-following behaviors is helpful to the development of driving assistance systems and autonomous driving. Recent studies have shown the advantages of applying reinforcement learning methods in car-following modeling. H...

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Detalles Bibliográficos
Autores principales: Zhou, Yang, Fu, Rui, Wang, Chang, Zhang, Ruibin
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2020
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7571238/
https://www.ncbi.nlm.nih.gov/pubmed/32899773
http://dx.doi.org/10.3390/s20185034

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7571238/
https://www.ncbi.nlm.nih.gov/pubmed/32899773
http://dx.doi.org/10.3390/s20185034

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