Deep Reinforcement Learning for Traffic Signal Control Model and Adaptation Study

Deep reinforcement learning provides a new approach to solving complex signal optimization problems at intersections. Earlier studies were limited to traditional traffic detection techniques, and the obtained traffic information was not accurate. With the advanced in technology, we can obtain highly...

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Detalles Bibliográficos
Autores principales: Tan, Jiyuan, Yuan, Qian, Guo, Weiwei, Xie, Na, Liu, Fuyu, Wei, Jing, Zhang, Xinwei
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9693472/
https://www.ncbi.nlm.nih.gov/pubmed/36433328
http://dx.doi.org/10.3390/s22228732

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9693472/
https://www.ncbi.nlm.nih.gov/pubmed/36433328
http://dx.doi.org/10.3390/s22228732

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