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

Maksim Tislenko, Dmitrii Kisilev

TL;DR

The results show that in some cases, the implementation of multiple agents can improve existing methods and for a fine-tuned large language model approach there is small enhancement on all metrics.

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.

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

TL;DR

The results show that in some cases, the implementation of multiple agents can improve existing methods and for a fine-tuned large language model approach there is small enhancement on all metrics.

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.
Paper Structure (17 sections, 1 equation, 1 figure, 1 table, 3 algorithms)

This paper contains 17 sections, 1 equation, 1 figure, 1 table, 3 algorithms.

Table of Contents

  1. Introduction
  2. Related work
  3. Method
  4. Problem Statement
  5. Process Description
  6. Implementation Differences for agents based on LLM and RL Algorithms
  7. LLM-Based Algorithms
  8. RL-Based Algorithms
  9. Algorithm pipeline
  10. Experimental setup
  11. Datasets
  12. Metrics
  13. Compared methods
  14. Experimental results
  15. Experimental analysis
  16. ...and 2 more sections

Figures (1)

  • Figure 1: Intersection scheme