Radio Resource Management and Path Planning in Intelligent Transportation Systems via Reinforcement Learning for Environmental Sustainability

Efficient and dynamic path planning has become an important topic for urban areas with larger density of connected vehicles (CV) which results in reduction of travel time and directly contributes to environmental sustainability through reducing energy consumption. CVs exploit the cellular wireless v...

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Veröffentlicht in:	arXiv.org 2024-05
Hauptverfasser:	Norouzi, S, Azarasa, N, Abedi, M R, Mokari, N, Seyedabrishami, S E, Saeedi, H, Jorswieck, E A
Format:	Artikel
Sprache:	eng
Schlagworte:	Energy consumption Intelligent transportation systems Messages Path planning Resource management Roads Situational awareness Sustainability Travel time Urban areas Vehicle-to-infrastructure Wireless communications
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