The Joint Impact of Traffic Signal Control and Automated Vehicles on Traffic Efficiency, Safety and Emissions: A Deep Reinforcement Learning Approach

ABSTRACT Recent developments in intelligent transportation systems underscore the promise of combining deep reinforcement learning (DRL)‐based traffic signal control (TSC) with automated vehicles (AVs) to improve intersection management. This study analyses how integrating DRL‐based TSC systems with...

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Detalles Bibliográficos

Principais autores:	Amir Hossein Karbasi, Hao Yang
Formato:	Artigo
Idioma:	Inglês
Publicado:	Wiley 2025-01-01
Series:	IET Intelligent Transport Systems
Assuntos:	automated driving and intelligent vehicles learning (artificial intelligence) optimal control safety traffic control transport modelling and microsimulation
Acceso en liña:	https://doi.org/10.1049/itr2.70087
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