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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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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
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Nature Publishing Group UK
2022
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| 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 |