Department of Pathology and Laboratory Medicine, Penn State College of Medicine and Penn State Hershey Medical Center, Hershey, PA, USA
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Enhancing Traffic Signal Control: A Value Decomposition Approach Empowered by Communication-multiple Agent Approval
Author(s): Omar Salameh*
Traffic congestion is a perennial challenge in urban environments, with traffic signal control systems playing a crucial role in managing flow and
reducing congestion. Traditional traffic signal control systems often lack adaptability and responsiveness to dynamic traffic conditions. In recent
years, advancements in Artificial Intelligence (AI) have paved the way for innovative approaches to traffic signal control. One such approach is the
integration of value decomposition techniques with communication-multiple agent approval systems. This article explores the synergy between
these methodologies and their potential to revolutionize traffic signal control, leading to more efficient and adaptive traffic management solutions... Read More»
DOI:
10.37421/2157-7145.2024.15.597
Journal of Forensic Research received 2328 citations as per Google Scholar report