  Due to accelerating urbanization, the importance of solving the signal
control problem increases. This paper analyzes various existing methods and
suggests options for increasing the number of agents to reduce the average
travel time. Experiments were carried out with 2 datasets. The results show
that in some cases, the implementation of multiple agents can improve existing
methods. For a fine-tuned large language model approach there is small
enhancement on all metrics.
