High-Accuracy, High-Efficiency, and Comfortable Car-Following Strategy Based on TD3 for Wide-to-Narrow Road Sections

To address traffic congestion in urban expressways during the transition from wide to narrow sections, this study proposed a car-following strategy based on deep reinforcement learning. Firstly, a car-following strategy was developed based on a twin-delayed deep deterministic policy gradient (TD3) a...

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書誌詳細

出版年:	World Electric Vehicle Journal
主要な著者:	Pinpin Qin, Fumao Wu, Shenglin Bin, Xing Li, Fuming Ya
フォーマット:	論文
言語:	英語
出版事項:	MDPI AG 2023-09-01
主題:	car-following twin delayed deep deterministic policy gradient (TD3) wide-to-narrow road sections desired safety distance (DSD) traffic congestion
オンライン･アクセス:	https://www.mdpi.com/2032-6653/14/9/244