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Traffic Signal Control

Control traffic lights/signals to optimize traffic.

( Image credit: Flaticon )

Papers

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Showing 1–25 of 201 papers

TitleStatusHype
iLLM-TSC: Integration reinforcement learning and large language model for traffic signal control policy improvementCode2
LLM-Assisted Light: Leveraging Large Language Model Capabilities for Human-Mimetic Traffic Signal Control in Complex Urban EnvironmentsCode2
LLMLight: Large Language Models as Traffic Signal Control AgentsCode2
A Comparative Study of Algorithms for Intelligent Traffic Signal ControlCode2
Joint Pedestrian and Vehicle Traffic Optimization in Urban Environments using Reinforcement LearningCode1
A Constrained Multi-Agent Reinforcement Learning Approach to Autonomous Traffic Signal ControlCode1
CoLLMLight: Cooperative Large Language Model Agents for Network-Wide Traffic Signal ControlCode1
DiffLight: A Partial Rewards Conditioned Diffusion Model for Traffic Signal Control with Missing DataCode1
PyTSC: A Unified Platform for Multi-Agent Reinforcement Learning in Traffic Signal ControlCode1
A GPU-accelerated Large-scale Simulator for Transportation System Optimization BenchmarkingCode1
Traffic Signal Cycle Control with Centralized Critic and Decentralized Actors under Varying Intervention FrequenciesCode1
X-Light: Cross-City Traffic Signal Control Using Transformer on Transformer as Meta Multi-Agent Reinforcement LearnerCode1
Open-TI: Open Traffic Intelligence with Augmented Language ModelCode1
DuaLight: Enhancing Traffic Signal Control by Leveraging Scenario-Specific and Scenario-Shared KnowledgeCode1
Traffic Signal Control Using Lightweight Transformers: An Offline-to-Online RL ApproachCode1
UniTSA: A Universal Reinforcement Learning Framework for V2X Traffic Signal ControlCode1
Prompt to Transfer: Sim-to-Real Transfer for Traffic Signal Control with Prompt LearningCode1
Uncertainty-aware Grounded Action Transformation towards Sim-to-Real Transfer for Traffic Signal ControlCode1
DataLight: Offline Data-Driven Traffic Signal ControlCode1
Learning to Control and Coordinate Mixed Traffic Through Robot Vehicles at Complex and Unsignalized IntersectionsCode1
LibSignal: An Open Library for Traffic Signal ControlCode1
ADLight: A Universal Approach of Traffic Signal Control with Augmented Data Using Reinforcement LearningCode1
Model-based graph reinforcement learning for inductive traffic signal controlCode1
Multi-Agent Reinforcement Learning for Traffic Signal Control through Universal Communication MethodCode1
Testing Stationarity and Change Point Detection in Reinforcement LearningCode1
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