An Autonomous Vehicle Behavior Decision Method Based on Deep Reinforcement Learning with Hybrid State Space and Driving Risk

An Autonomous Vehicle Behavior Decision Method Based on Deep Reinforcement Learning with Hybrid State Space and Driving Risk

Behavioral decision-making is an important part of the high-level intelligent driving system of intelligent vehicles, and efficient and safe behavioral decision-making plays an important role in the deployment of intelligent transportation system, which is a hot topic of current research. This paper...

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Bibliographic Details
Main Authors: Xu Wang, Bo Qian, Junchao Zhuo, Weiqun Liu
Format: Article
Language:English
Published: MDPI AG 2025-01-01
Series:Sensors
Subjects:
autonomous vehicle
behavior decision
deep reinforcement learning
driving risk
Online Access:https://www.mdpi.com/1424-8220/25/3/774
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