Improved deep reinforcement learning for car-following decision-making

Accuracy improvement of Car-following (CF) model has attracted much attention in recent years. Although a few studies incorporate deep reinforcement learning (DRL) to describe CF behaviors, proper design of reward function is still an intractable problem. This study improves the deep deterministic p...

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Veröffentlicht in:	Physica A Jg. 624; S. 128912
Hauptverfasser:	Yang, Xiaoxue, Zou, Yajie, Zhang, Hao, Qu, Xiaobo, Chen, Lei
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Elsevier B.V 15.08.2023
Schlagworte:	Auto encoders Behavioral research Car-following model Car-following modeling De-noising Decision making Deep reinforcement learning Deterministics Driving behavior imitation Driving behaviour Learning systems Policy gradient Recurrent neural networks Reinforcement learning Reinforcement learnings Stacked denoising autoencoder Stacked denoising autoencoders Driving behavior imitation Deep reinforcement learning Stacked denoising autoencoders Car-following model
ISSN:	0378-4371, 1873-2119
Online-Zugang:	Volltext
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