This paper proposes enhancing urban traffic management by integrating traffic signals into the SCATS system and developing a distributed control algorithm. The expected benefits include reduced congestion, improved road safety, and environmental sustainability. Scientifically, the research introduces innovative algorithms and integrates new features into existing systems, offering a scalable solution for urban traffic management. The study aims to optimise traffic flow and reduce travel times, ultimately improving quality of life in urban areas. The proposed approach promises efficient and sustainable urban mobility by dynamically adjusting to real-time traffic conditions. The system responds quickly to traffic conditions through collaborative coordination of traffic signals and autonomous decision-making, allowing effective urban traffic management. This research contributes to both practical applications and theoretical understanding, promising significant advances in urban traffic management practices.