Real-Time Adaptive Traffic Signal Control in a Connected and Automated Vehicle Environment: Optimisation of Signal Planning with Reinforcement Learning under Vehicle Speed Guidance

Adaptive traffic signal control (ATSC) is an effective method to reduce traffic congestion in modern urban areas. Many studies adopted various approaches to adjust traffic signal plans according to real-time traffic in response to demand fluctuations to improve urban network performance (e.g., minim...

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Detalles Bibliográficos
Autores principales: Maadi, Saeed, Stein, Sebastian, Hong, Jinhyun, Murray-Smith, Roderick
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9572689/
https://www.ncbi.nlm.nih.gov/pubmed/36236600
http://dx.doi.org/10.3390/s22197501

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9572689/
https://www.ncbi.nlm.nih.gov/pubmed/36236600
http://dx.doi.org/10.3390/s22197501

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