The high growth rate of vehicles per capita now poses a real challenge to efficient Urban Traffic Control (UTC

Abstract-Increasing traffic congestion is a major problem in urban areas, which incurs heavy economic and environmental costs in both developing and developed countries. Efficient urban traffic control (UTC) can help reduce traffic congestion. However, the increasing volume and the dynamic nature of urban traffic pose particular challenges to UTC. Reinforcement Learning (RL) has been shown to be a promising approach to efficient UTC. Dublin's inner city centre. Results from using our scheme show an approximate 35% -43% and 40% -54% better performance in terms of average vehicle waiting time and average number of vehicle stops respectively against the best baseline performance in our simulation.