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Traffic Signal Control

Control traffic lights/signals to optimize traffic.

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Papers

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Showing 1–50 of 201 papers

TitleStatusHype
LLM-Assisted Light: Leveraging Large Language Model Capabilities for Human-Mimetic Traffic Signal Control in Complex Urban EnvironmentsCode2
A Comparative Study of Algorithms for Intelligent Traffic Signal ControlCode2
LLMLight: Large Language Models as Traffic Signal Control AgentsCode2
iLLM-TSC: Integration reinforcement learning and large language model for traffic signal control policy improvementCode2
Learning Scalable Multi-Agent Coordination by Spatial Differentiation for Traffic Signal ControlCode1
Traffic Signal Cycle Control with Centralized Critic and Decentralized Actors under Varying Intervention FrequenciesCode1
Efficient Pressure: Improving efficiency for signalized intersectionsCode1
CoLLMLight: Cooperative Large Language Model Agents for Network-Wide Traffic Signal ControlCode1
Leveraging Queue Length and Attention Mechanisms for Enhanced Traffic Signal Control OptimizationCode1
Independent Reinforcement Learning for Weakly Cooperative Multiagent Traffic Control ProblemCode1
Learning to Control and Coordinate Mixed Traffic Through Robot Vehicles at Complex and Unsignalized IntersectionsCode1
ADLight: A Universal Approach of Traffic Signal Control with Augmented Data Using Reinforcement LearningCode1
Model-based graph reinforcement learning for inductive traffic signal controlCode1
CoLight: Learning Network-level Cooperation for Traffic Signal ControlCode1
Traffic Signal Control Using Lightweight Transformers: An Offline-to-Online RL ApproachCode1
UniTSA: A Universal Reinforcement Learning Framework for V2X Traffic Signal ControlCode1
PyTSC: A Unified Platform for Multi-Agent Reinforcement Learning in Traffic Signal ControlCode1
Uncertainty-aware Grounded Action Transformation towards Sim-to-Real Transfer for Traffic Signal ControlCode1
A Constrained Multi-Agent Reinforcement Learning Approach to Autonomous Traffic Signal ControlCode1
Towards Real-World Deployment of Reinforcement Learning for Traffic Signal ControlCode1
IG-RL: Inductive Graph Reinforcement Learning for Massive-Scale Traffic Signal ControlCode1
Joint Pedestrian and Vehicle Traffic Optimization in Urban Environments using Reinforcement LearningCode1
Prompt to Transfer: Sim-to-Real Transfer for Traffic Signal Control with Prompt LearningCode1
Open-TI: Open Traffic Intelligence with Augmented Language ModelCode1
A GPU-accelerated Large-scale Simulator for Transportation System Optimization BenchmarkingCode1
LibSignal: An Open Library for Traffic Signal ControlCode1
DiffLight: A Partial Rewards Conditioned Diffusion Model for Traffic Signal Control with Missing DataCode1
MetaVIM: Meta Variationally Intrinsic Motivated Reinforcement Learning for Decentralized Traffic Signal ControlCode1
Multi-Agent Reinforcement Learning for Traffic Signal Control through Universal Communication MethodCode1
Testing Stationarity and Change Point Detection in Reinforcement LearningCode1
X-Light: Cross-City Traffic Signal Control Using Transformer on Transformer as Meta Multi-Agent Reinforcement LearnerCode1
DataLight: Offline Data-Driven Traffic Signal ControlCode1
Deep Reinforcement Q-Learning for Intelligent Traffic Signal Control with Partial DetectionCode1
Expression might be enough: representing pressure and demand for reinforcement learning based traffic signal controlCode1
DuaLight: Enhancing Traffic Signal Control by Leveraging Scenario-Specific and Scenario-Shared KnowledgeCode1
Multi-Agent Deep Reinforcement Learning for Large-scale Traffic Signal ControlCode0
Modeling Network-level Traffic Flow Transitions on Sparse DataCode0
MacLight: Multi-scene Aggregation Convolutional Learning for Traffic Signal ControlCode0
Multi-agent Reinforcement Learning for Networked System ControlCode0
A Simple Traffic Signal Control Using Queue Length InformationCode0
CoSLight: Co-optimizing Collaborator Selection and Decision-making to Enhance Traffic Signal ControlCode0
Learning Phase Competition for Traffic Signal ControlCode0
HumanLight: Incentivizing Ridesharing via Human-centric Deep Reinforcement Learning in Traffic Signal ControlCode0
GuideLight: "Industrial Solution" Guidance for More Practical Traffic Signal Control AgentsCode0
Congested Urban Networks Tend to Be Insensitive to Signal Settings: Implications for Learning-Based ControlCode0
A Parallel Hybrid Action Space Reinforcement Learning Model for Real-world Adaptive Traffic Signal ControlCode0
Feedback-feedforward Signal Control with Exogenous Demand Estimation in Congested Urban Road NetworksCode0
Generalized Phase Pressure Control Enhanced Reinforcement Learning for Traffic Signal ControlCode0
An Open-Source Framework for Adaptive Traffic Signal ControlCode0
DynamicLight: Two-Stage Dynamic Traffic Signal TimingCode0
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