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Traffic Signal Control

Control traffic lights/signals to optimize traffic.

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Papers

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Showing 51–100 of 201 papers

TitleStatusHype
C-MP: A decentralized adaptive-coordinated traffic signal control using the Max Pressure framework—0
OCC-MP: A Max-Pressure framework to prioritize transit and high occupancy vehicles—0
From Single Agent to Multi-Agent: Improving Traffic Signal Control—0
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
CityLight: A Universal Model for Coordinated Traffic Signal Control in City-scale Heterogeneous Intersections—0
Exploring the impact of traffic signal control and connected and automated vehicles on intersections safety: A deep reinforcement learning approach—0
CoSLight: Co-optimizing Collaborator Selection and Decision-making to Enhance Traffic Signal ControlCode0
Distributed Traffic Signal Control via Coordinated Maximum Pressure-plus-Penalty—0
Uninterrupted Maximum Flow on Signalized Traffic Networks—0
X-Light: Cross-City Traffic Signal Control Using Transformer on Transformer as Meta Multi-Agent Reinforcement LearnerCode1
Towards Multi-agent Reinforcement Learning based Traffic Signal Control through Spatio-temporal HypergraphsCode0
Traffic Signal Control and Speed Offset Coordination Using Q-Learning for Arterial Road Networks—0
MTLight: Efficient Multi-Task Reinforcement Learning for Traffic Signal Control—0
Learning Traffic Signal Control via Genetic Programming—0
LLM-Assisted Light: Leveraging Large Language Model Capabilities for Human-Mimetic Traffic Signal Control in Complex Urban EnvironmentsCode2
A Holistic Framework Towards Vision-based Traffic Signal Control with Microscopic Simulation—0
Distributed Traffic Signal Control of Interconnected Intersections: A Two-Lane Traffic Network Model—0
CycLight: learning traffic signal cooperation with a cycle-level strategy—0
A Survey on Graph Neural Networks in Intelligent Transportation Systems—0
Open-TI: Open Traffic Intelligence with Augmented Language ModelCode1
LLMLight: Large Language Models as Traffic Signal Control AgentsCode2
DuaLight: Enhancing Traffic Signal Control by Leveraging Scenario-Specific and Scenario-Shared KnowledgeCode1
Feedback-feedforward Signal Control with Exogenous Demand Estimation in Congested Urban Road NetworksCode0
Traffic Signal Control Using Lightweight Transformers: An Offline-to-Online RL ApproachCode1
UniTSA: A Universal Reinforcement Learning Framework for V2X Traffic Signal ControlCode1
A Fully Data-Driven Approach for Realistic Traffic Signal Control Using Offline Reinforcement Learning—0
Learning Decentralized Traffic Signal Controllers with Multi-Agent Graph Reinforcement Learning—0
Combat Urban Congestion via Collaboration: Heterogeneous GNN-based MARL for Coordinated Platooning and Traffic Signal Control—0
Joint Optimization of Traffic Signal Control and Vehicle Routing in Signalized Road Networks using Multi-Agent Deep Reinforcement Learning—0
Multi-Agent Reinforcement Learning Based on Representational Communication for Large-Scale Traffic Signal Control—0
A Computationally Efficient Bi-level Coordination Framework for CAVs at Unsignalized Intersections—0
Prompt to Transfer: Sim-to-Real Transfer for Traffic Signal Control with Prompt LearningCode1
Perimeter Control with Heterogeneous Metering Rates for Cordon Signals: A Physics-Regularized Multi-Agent Reinforcement Learning Approach—0
A Taxonomy of Adaptive Traffic Signal Control—0
Uncertainty-aware Grounded Action Transformation towards Sim-to-Real Transfer for Traffic Signal ControlCode1
Bridging the Reality Gap of Reinforcement Learning based Traffic Signal Control using Domain Randomization and Meta Learning—0
Cooperative Multi-Objective Reinforcement Learning for Traffic Signal Control and Carbon Emission Reduction—0
Real-Time Network-Level Traffic Signal Control: An Explicit Multiagent Coordination Method—0
DenseLight: Efficient Control for Large-scale Traffic Signals with Dense FeedbackCode0
A Novel Multi-Agent Deep RL Approach for Traffic Signal Control—0
Improving the generalizability and robustness of large-scale traffic signal control—0
Learning to Stabilize Online Reinforcement Learning in Unbounded State SpacesCode0
Privacy-Preserving Adaptive Traffic Signal Control in a Connected Vehicle Environment—0
Reinforcement Learning Approaches for Traffic Signal Control under Missing DataCode0
SocialLight: Distributed Cooperation Learning towards Network-Wide Traffic Signal Control—0
HumanLight: Incentivizing Ridesharing via Human-centric Deep Reinforcement Learning in Traffic Signal ControlCode0
Large-Scale Traffic Signal Control Using Constrained Network Partition and Adaptive Deep Reinforcement Learning—0
DataLight: Offline Data-Driven Traffic Signal ControlCode1
Deep Reinforcement Learning for Traffic Light Control in Intelligent Transportation Systems—0
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