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Open AccessArticle

A Method of Personalized Driving Decision for Smart Car Based on Deep Reinforcement Learning

1
Intelligent Transportation Systems Center (ITSC), Wuhan University of Technology, Wuhan 430000, China
2
Faculty of Technology, Policy and Management, Safety and Security Science Group (S3G), Delft University of Technology, 2628BX Delft, The Netherlands
*
Author to whom correspondence should be addressed.
Information 2020, 11(6), 295; https://doi.org/10.3390/info11060295
Received: 7 May 2020 / Revised: 27 May 2020 / Accepted: 28 May 2020 / Published: 31 May 2020
(This article belongs to the Special Issue Artificial Intelligence and Decision Support Systems)
To date, automatic driving technology has become a hotspot in academia. It is necessary to provide a personalization of automatic driving decision for each passenger. The purpose of this paper is to propose a self-learning method for personalized driving decisions. First, collect and analyze driving data from different drivers to set learning goals. Then, Deep Deterministic Policy Gradient algorithm is utilized to design a driving decision system. Furthermore, personalized factors are introduced for some observed parameters to build a personalized driving decision model. Finally, compare the proposed method with classic Deep Reinforcement Learning algorithms. The results show that the performance of the personalized driving decision model is better than the classic algorithms, and it is similar to the manual driving situation. Therefore, the proposed model can effectively learn the human-like personalized driving decisions of different drivers for structured road. Based on this model, the smart car can accomplish personalized driving. View Full-Text
Keywords: smart car; personalization; driving decision; human-like; deep reinforcement learning; data visualization smart car; personalization; driving decision; human-like; deep reinforcement learning; data visualization
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Wang, X.; Wu, C.; Xue, J.; Chen, Z. A Method of Personalized Driving Decision for Smart Car Based on Deep Reinforcement Learning. Information 2020, 11, 295.

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