A Control Method with Reinforcement Learning for Urban Un-Signalized Intersection in Hybrid Traffic Environment

To control autonomous vehicles (AVs) in urban unsignalized intersections is a challenging problem, especially in a hybrid traffic environment where self-driving vehicles coexist with human driving vehicles. In this study, a coordinated control method with proximal policy optimization (PPO) in Vehicl...

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Detalles Bibliográficos
Autores principales: Shi, Yanjun, Liu, Yuanzhuo, Qi, Yuhan, Han, Qiaomei
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8840198/
https://www.ncbi.nlm.nih.gov/pubmed/35161523
http://dx.doi.org/10.3390/s22030779

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8840198/
https://www.ncbi.nlm.nih.gov/pubmed/35161523
http://dx.doi.org/10.3390/s22030779

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