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Traffic Signal Optimization for Multiple Intersections Based on Reinforcement Learning

In order to deal with dynamic traffic flow, adaptive traffic signal controls using reinforcement learning are being studied. However, most of the related studies are difficult to apply to the real field considering only mathematical optimization. In this study, we propose a reinforcement learning-ba...

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Autores principales: Jaun Gu, Minhyuck Lee, Chulmin Jun, Yohee Han, Youngchan Kim, Junwon Kim
Formato: Artigo
Lenguaje:Inglês
Publicado: MDPI AG 2021-11-01
Colección:Applied Sciences
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Acceso en línea:https://www.mdpi.com/2076-3417/11/22/10688
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