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Adaptability and sustainability of machine learning approaches to traffic signal control

This study investigates how adaptable Machine Learning Traffic Signal control methods are to topological variability. We ask how well can these methods generalize to non-Manhattan-like networks with non-uniform distances between intersections. A Machine Learning method that is highly reliable in var...

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Detalles Bibliográficos
Autor principal: Korecki, Marcin
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9537302/
https://www.ncbi.nlm.nih.gov/pubmed/36202965
http://dx.doi.org/10.1038/s41598-022-21125-3