mlsanityData to 7 Oct 2026

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

arXiv 2406.13693 ↗First posted 19 Jun 2024cs.AIcited by 0

Not on the map. Why?

Abstract (arXiv)

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.

Key facts. No citing papers in the map yet (data through 7 Oct 2026). Builds on 6 of its 21 references that are in the map. First posted on arXiv 19 Jun 2024.

Builds on

6 of 21 references.

References · 6

  1. 2022Self-Consistency Improves Chain of Thought Reasoning in Language Modelscited by 5,601
  2. 2023Improving Factuality and Reasoning in Language Models through Multiagent Debatecited by 1,739
  3. 2023Large Language Modelscited by 774
  4. 2019CoLight: Learning Network-level Cooperation for Traffic Signal Controlcited by 133
  5. 2019Learning Phase Competition for Traffic Signal Controlcited by 84
  6. 2020AttendLight: Universal Attention-Based Reinforcement Learning Model for Traffic Signal Controlcited by 60

Built on by

Not cited yet.

Similar, not cited

Close in wording, no citation either way

  1. 2026LATS: Large Language Model Assisted Teacher-Student Framework for Multi-Agent Reinforcement Learning in Traffic Signal Control
  2. 2025CoLLMLight: Cooperative Large Language Model Agents for Network-Wide Traffic Signal Control
  3. 2026TrafficClaw: A Generalizable LLM Agent in the Unified Physical Environment for Urban Traffic Control
  4. 2023LLMLight: Large Language Models as Traffic Signal Control Agents
  5. 2025Robust Single-Agent Reinforcement Learning for Regional Traffic Signal Control Under Demand Fluctuations
  6. 2026Spatiotemporal Decision Transformer for Traffic Coordination
  7. 2025EvolveSignal: A Large Language Model Powered Coding Agent for Discovering Traffic Signal Control Strategies
  8. 2025A Dual Large Language Models Architecture with Herald Guided Prompts for Parallel Fine Grained Traffic Signal Control