From Single Agent to Multi-Agent: Improving Traffic Signal Control
This addresses traffic congestion for urban planners, but appears incremental as it builds on existing methods.
The paper tackles traffic signal control by analyzing existing methods and proposing multi-agent approaches, finding that in some cases multiple agents can reduce average travel time, with a fine-tuned large language model showing small enhancements on all metrics.
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.