Traffic signal control algorithms are developed using meta-reinforcement learning
In urban areas, traffic signal control has a significant impact on day-to-day life. Based on the traffic conditions, the existing system utilizes a theory-based controller to alter the traffic lights. During unsaturated traffic conditions, the objective is to minimize vehicle delays while maximizing vehicle throughput during congestion.
Nevertheless, the existing