Deep Reinforcement Learning Car-Following Control Based on Multivehicle Motion Prediction

Deep Reinforcement Learning Car-Following Control Based on Multivehicle Motion Prediction

Reinforcement learning (RL)–based car-following (CF) control strategies have attracted significant attention in academia, emerging as a prominent research topic in recent years. Most of these control strategies focus solely on the motion status of the immediately preceding vehicle. However, with the...

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Bibliographic Details
Main Authors: Tao Wang, Dayi Qu, Kedong Wang, Shouchen Dai
Format: Article
Language:English
Published: MDPI AG 2024-03-01
Series:Electronics
Subjects:
car-following
reinforcement learning
twin-delayed deep deterministic policy gradients
sequence-to-sequence
motion prediction
Online Access:https://www.mdpi.com/2079-9292/13/6/1133

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https://www.mdpi.com/2079-9292/13/6/1133

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