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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Auteurs principaux: Jaun Gu, Minhyuck Lee, Chulmin Jun, Yohee Han, Youngchan Kim, Junwon Kim
Format: article
Langue:EN
Publié: MDPI AG 2021
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Accès en ligne:https://doaj.org/article/7ed23d4e4a2b40009a8449538e8e862a
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