A deep reinforcement learning‐based distributed connected automated vehicle control under communication failure

This paper proposes a deep reinforcement learning (DRL)‐based distributed longitudinal control strategy for connected and automated vehicles (CAVs) under communication failure to stabilize traffic oscillations. Specifically, the signal‐interference‐plus‐noise ratio‐based vehicle‐to‐vehicle communica...

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Veröffentlicht in:	Computer-aided civil and infrastructure engineering Jg. 37; H. 15; S. 2033 - 2051
Hauptverfasser:	Shi, Haotian, Zhou, Yang, Wang, Xin, Fu, Sicheng, Gong, Siyuan, Ran, Bin
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Hoboken Wiley Subscription Services, Inc 01.12.2022
Schlagworte:	Algorithms Automatic control Data integration Deep learning Information flow Longitudinal control Machine learning Topology
ISSN:	1093-9687, 1467-8667
Online-Zugang:	Volltext
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