Multi-Lane Differential Variable Speed Limit Control via Deep Neural Networks Optimized by an Adaptive Evolutionary Strategy

In advanced transportation-management systems, variable speed limits are a crucial application. Deep reinforcement learning methods have been shown to have superior performance in many applications, as they are an effective approach to learning environment dynamics for decision-making and control. H...

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Detalles Bibliográficos
Autores principales: Feng, Jianshuai, Shi, Tianyu, Wu, Yuankai, Xie, Xiang, He, Hongwen, Tan, Huachun
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2023
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10224319/
https://www.ncbi.nlm.nih.gov/pubmed/37430573
http://dx.doi.org/10.3390/s23104659

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10224319/
https://www.ncbi.nlm.nih.gov/pubmed/37430573
http://dx.doi.org/10.3390/s23104659

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