Vehicle-to-everything decision optimization and cloud control based on deep reinforcement learning

Abstract To address the challenges of decision optimization and road segment hazard assessment within complex traffic environments, and to enhance the safety and responsiveness of autonomous driving, a Vehicle-to-Everything (V2X) decision framework is proposed. This framework is structured into thre...

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Bibliographic Details
Main Authors: Zhenhai Gao, Dayu Liu, Chengyuan Zheng
Format: Article
Language:English
Published: Nature Portfolio 2025-08-01
Series:Scientific Reports
Subjects:
Online Access:https://doi.org/10.1038/s41598-025-12772-3
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