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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
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
LLM-Assisted Light: Leveraging Large Language Model Capabilities for Human-Mimetic Traffic Signal Control in Complex Urban EnvironmentsCode2
LibSignal: An Open Library for Traffic Signal ControlCode1
Expression might be enough: representing pressure and demand for reinforcement learning based traffic signal controlCode1
Prompt to Transfer: Sim-to-Real Transfer for Traffic Signal Control with Prompt LearningCode1
A Constrained Multi-Agent Reinforcement Learning Approach to Autonomous Traffic Signal ControlCode1
Joint Pedestrian and Vehicle Traffic Optimization in Urban Environments using Reinforcement LearningCode1
Leveraging Queue Length and Attention Mechanisms for Enhanced Traffic Signal Control OptimizationCode1
Towards Real-World Deployment of Reinforcement Learning for Traffic Signal ControlCode1
ADLight: A Universal Approach of Traffic Signal Control with Augmented Data Using Reinforcement LearningCode1
IG-RL: Inductive Graph Reinforcement Learning for Massive-Scale Traffic Signal ControlCode1
Efficient Pressure: Improving efficiency for signalized intersectionsCode1
DiffLight: A Partial Rewards Conditioned Diffusion Model for Traffic Signal Control with Missing DataCode1
A GPU-accelerated Large-scale Simulator for Transportation System Optimization BenchmarkingCode1
CoLight: Learning Network-level Cooperation for Traffic Signal ControlCode1
CoLLMLight: Cooperative Large Language Model Agents for Network-Wide Traffic Signal ControlCode1
Learning Scalable Multi-Agent Coordination by Spatial Differentiation for Traffic Signal ControlCode1
Independent Reinforcement Learning for Weakly Cooperative Multiagent Traffic Control ProblemCode1
DataLight: Offline Data-Driven Traffic Signal ControlCode1
Deep Reinforcement Q-Learning for Intelligent Traffic Signal Control with Partial DetectionCode1
Learning to Control and Coordinate Mixed Traffic Through Robot Vehicles at Complex and Unsignalized IntersectionsCode1
DuaLight: Enhancing Traffic Signal Control by Leveraging Scenario-Specific and Scenario-Shared KnowledgeCode1
MetaVIM: Meta Variationally Intrinsic Motivated Reinforcement Learning for Decentralized Traffic Signal ControlCode1
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