Reinforcement Learning for Joint V2I Network Selection and Autonomous Driving Policies

Vehicle-to-Infrastructure (V2I) communication is becoming critical for the enhanced reliability of autonomous vehicles (AVs). However, the uncertainties in the road-traffic and AVs' wireless connections can severely impair timely decision-making. It is thus critical to simultaneously optimize t...

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Veröffentlicht in:	arXiv.org 2022-08
Hauptverfasser:	Yan, Zijiang, Tabassum, Hina
Format:	Artikel
Sprache:	eng
Schlagworte:	Acceleration Collisions Communication Deceleration Decision making Driving Lane changing Machine learning Markov processes Optimization Policies Reliability engineering Traffic flow Vehicle-to-infrastructure
Online-Zugang:	Volltext
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