From Single Agent to Multi-Agent: Improving Traffic Signal Control

TL;DR

This paper explores the transition from single-agent to multi-agent systems for traffic signal control, demonstrating potential improvements in travel time reduction through experiments with multiple datasets.

Contribution

It introduces the concept of multi-agent systems for traffic signal control and evaluates their effectiveness compared to traditional methods.

Findings

Multi-agent systems can improve traffic signal control performance.

Implementation of multiple agents shows benefits in some scenarios.

Fine-tuned large language models yield small but consistent improvements.

Abstract

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.