Traffic Signal Control

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30 shown of 62 papers with code (201 tagged with this task in all), ordered by repositories listed in the archive, not by stars (the archive holds no stars, so PwC's “Social” and “Latest” sorts cannot be reproduced). Papers without a page here are shown as plain text.

• CoLight: Learning Network-level Cooperation for Traffic Signal Control
  11 May 2019 4 repositories listed Syntology ran 3 of 3 samples · 0 unverified · 3 pointer-only (licence)
  To enable cooperation of traffic signals, in this paper, we propose a model, CoLight, which uses graph attentional networks to facilitate communication.
• MetaVIM: Meta Variationally Intrinsic Motivated Reinforcement Learning for Decentralized Traffic Signal Control
  4 Jan 2021 3 repositories listed
  To make the policy learned from a training scenario generalizable to new unseen scenarios, a novel Meta Variationally Intrinsic Motivated (MetaVIM) RL method is proposed to learn the decentralized policy for each…
• iLLM-TSC: Integration reinforcement learning and large language model for traffic signal control policy improvement
  8 Jul 2024 2 repositories listed
  However, the existing RL-based TSC system often overlooks imperfect observations caused by degraded communication, such as packet loss, delays, and noise, as well as rare real-life events not included in the reward…
• Learning to Control and Coordinate Mixed Traffic Through Robot Vehicles at Complex and Unsignalized Intersections
  12 Jan 2023 2 repositories listed
  We propose a decentralized multi-agent reinforcement learning approach for the control and coordination of mixed traffic by RVs at real-world, complex intersections -- an open challenge to date.
• LibSignal: An Open Library for Traffic Signal Control
  19 Nov 2022 2 repositories listed
  This paper introduces a library for cross-simulator comparison of reinforcement learning models in traffic signal control tasks.
• Leveraging Queue Length and Attention Mechanisms for Enhanced Traffic Signal Control Optimization
  30 Dec 2021 2 repositories listed
  We propose two new methods: (1) Max Queue-Length (M-QL), an optimization-based traditional method designed based on the property of queue length; and (2) AttentionLight, an RL model that employs the self-attention…
• Efficient Pressure: Improving efficiency for signalized intersections
  4 Dec 2021 2 repositories listed
  Since conventional approaches could not adapt to dynamic traffic conditions, reinforcement learning (RL) has attracted more attention to help solve the traffic signal control (TSC) problem.
• Congested Urban Networks Tend to Be Insensitive to Signal Settings: Implications for Learning-Based Control
  21 Aug 2020 2 repositories listed
  Notably, we found that no control (i.
• Joint Pedestrian and Vehicle Traffic Optimization in Urban Environments using Reinforcement Learning
  7 Apr 2025 1 repository listed
  Reinforcement learning (RL) holds significant promise for adaptive traffic signal control.
• A Constrained Multi-Agent Reinforcement Learning Approach to Autonomous Traffic Signal Control
  30 Mar 2025 1 repository listed
  In this paper, we view the ATSC problem as a constrained multi-agent reinforcement learning (MARL) problem and propose a novel algorithm named Multi-Agent Proximal Policy Optimization with Lagrange Cost Estimator…
• Generalized Phase Pressure Control Enhanced Reinforcement Learning for Traffic Signal Control
  26 Mar 2025 1 repository listed
  Appropriate traffic state representation is crucial for learning traffic signal control policies.
• A Parallel Hybrid Action Space Reinforcement Learning Model for Real-world Adaptive Traffic Signal Control
  18 Mar 2025 1 repository listed
  In this study, we introduce a parallel hybrid action space reinforcement learning model (PH-DDPG) that optimizes traffic signal phase and duration of traffic signals simultaneously, eliminating the need for sequential…
• CoLLMLight: Cooperative Large Language Model Agents for Network-Wide Traffic Signal Control
  14 Mar 2025 1 repository listed
  Traffic Signal Control (TSC) plays a critical role in urban traffic management by optimizing traffic flow and mitigating congestion.
• MacLight: Multi-scene Aggregation Convolutional Learning for Traffic Signal Control
  20 Dec 2024 1 repository listed
  Reinforcement learning methods have proposed promising traffic signal control policy that can be trained on large road networks.
• DiffLight: A Partial Rewards Conditioned Diffusion Model for Traffic Signal Control with Missing Data
  30 Oct 2024 1 repository listed Syntology ran 0 of 4 samples · 4 unverified · 4 pointer-only (licence)
  The application of reinforcement learning in traffic signal control (TSC) has been extensively researched and yielded notable achievements.
• PyTSC: A Unified Platform for Multi-Agent Reinforcement Learning in Traffic Signal Control
  23 Oct 2024 1 repository listed
  Multi-Agent Reinforcement Learning (MARL) presents a promising approach for addressing the complexity of Traffic Signal Control (TSC) in urban environments.
• SynTraC: A Synthetic Dataset for Traffic Signal Control from Traffic Monitoring Cameras
  18 Aug 2024 1 repository listed
  This paper introduces SynTraC, the first public image-based traffic signal control dataset, aimed at bridging the gap between simulated environments and real-world traffic management challenges.
• GuideLight: "Industrial Solution" Guidance for More Practical Traffic Signal Control Agents
  15 Jul 2024 1 repository listed
  Currently, traffic signal control (TSC) methods based on reinforcement learning (RL) have proven superior to traditional methods.
• A GPU-accelerated Large-scale Simulator for Transportation System Optimization Benchmarking
  15 Jun 2024 1 repository listed
  However, existing microscopic traffic simulators are inefficient in large-scale scenarios and thus fail to support the adoption of these methods in large-scale transportation system optimization scenarios.
• Traffic Signal Cycle Control with Centralized Critic and Decentralized Actors under Varying Intervention Frequencies
  12 Jun 2024 1 repository listed
  Traffic congestion in urban areas is a significant problem, leading to prolonged travel times, reduced efficiency, and increased environmental concerns.
• CoSLight: Co-optimizing Collaborator Selection and Decision-making to Enhance Traffic Signal Control
  27 May 2024 1 repository listed
  Effective multi-intersection collaboration is pivotal for reinforcement-learning-based traffic signal control to alleviate congestion.
• X-Light: Cross-City Traffic Signal Control Using Transformer on Transformer as Meta Multi-Agent Reinforcement Learner
  18 Apr 2024 1 repository listed Syntology ran 3 of 4 samples · 1 unverified
  The effectiveness of traffic light control has been significantly improved by current reinforcement learning-based approaches via better cooperation among multiple traffic lights.
• Towards Multi-agent Reinforcement Learning based Traffic Signal Control through Spatio-temporal Hypergraphs
  17 Apr 2024 1 repository listed
  Furthermore, we introduce hypergraph learning into the critic network of MA-SAC to enable the spatio-temporal interactions from multiple intersections in the road network.
• LLM-Assisted Light: Leveraging Large Language Model Capabilities for Human-Mimetic Traffic Signal Control in Complex Urban Environments
  13 Mar 2024 1 repository listed
  Specifically, a hybrid framework that augments LLMs with a suite of perception and decision-making tools is proposed, facilitating the interrogation of both the static and dynamic traffic information.
• Open-TI: Open Traffic Intelligence with Augmented Language Model
  30 Dec 2023 1 repository listed Syntology ran 5 of 8 samples · 3 unverified · 8 pointer-only (licence)
  Transportation has greatly benefited the cities' development in the modern civilization process.
• LLMLight: Large Language Models as Traffic Signal Control Agents
  26 Dec 2023 1 repository listed Syntology ran 1 of 1 samples · 0 unverified · 1 pointer-only (licence)
  Extensive experiments conducted on ten real-world and synthetic datasets, along with evaluations by fifteen human experts, demonstrate the exceptional effectiveness, generalization ability, and interpretability of…
• DuaLight: Enhancing Traffic Signal Control by Leveraging Scenario-Specific and Scenario-Shared Knowledge
  22 Dec 2023 1 repository listed
  Furthermore, we implement a scenario-shared Co-Train module to facilitate the learning of generalizable dynamics information across different scenarios.
• Feedback-feedforward Signal Control with Exogenous Demand Estimation in Congested Urban Road Networks
  12 Dec 2023 1 repository listed
  These robust strategies still require sensing infrastructure to implement traffic-responsiveness.
• Traffic Signal Control Using Lightweight Transformers: An Offline-to-Online RL Approach
  12 Dec 2023 1 repository listed
  In this work, we propose DTLight, a simple yet powerful lightweight Decision Transformer-based TSC method that can learn policy from easily accessible offline datasets.
• UniTSA: A Universal Reinforcement Learning Framework for V2X Traffic Signal Control
  8 Dec 2023 1 repository listed
  Traffic congestion is a persistent problem in urban areas, which calls for the development of effective traffic signal control (TSC) systems.

Syntology lines on 5 of the papers shown; no Syntology record for the others (a paper without an arXiv id cannot be joined to the graph, and absence from the graph layer is not a recorded non-run). “Ran” means the sample executed on a synthesized fixture, not that the paper's result was reproduced. Read from the graph 2026-09-24.