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Traffic congestion has become common in urban areas worldwide. To solve this problem, the method of searching a solution using artificial intelligence has recently attracted widespread attention because it can solve complex problems such as traffic signal control. This study developed two traffic signal control models using reinforcement learning and a microscopic simulation-based evaluation for an isolated intersection and two coordinated intersections. To develop these models, a deepdoi:10.1371/journal.pone.0256405 pmid:34473716 pmcid:PMC8412290 fatcat:dcg4bwvni5hylga7yhrksycz7q