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.
இந்தக் கட்டுரையைப் பகிரவும்
English 
Spanish 
Chinese 
Russian 
German 
French 
Japanese 
Portuguese 
Hindi 