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Traffic Signal Control
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Control traffic lights/signals to optimize traffic.
<span style="color:grey; opacity: 0.6">( Image credit: Flaticon )</span>
논문
이 태스크와 하위 분야의 관련 논문입니다. 실제 성능 비교는 평가 결과에서 확인하세요.
Feedback-feedforward Signal Control with Exogenous Demand Estimation in Congested Urban Road Networks
Traffic Signal Control Using Lightweight Transformers: An Offline-to-Online RL Approach
UniTSA: A Universal Reinforcement Learning Framework for V2X Traffic Signal Control
A Fully Data-Driven Approach for Realistic Traffic Signal Control Using Offline Reinforcement Learning
Learning Decentralized Traffic Signal Controllers with Multi-Agent Graph Reinforcement Learning
Combat Urban Congestion via Collaboration: Heterogeneous GNN-based MARL for Coordinated Platooning and Traffic Signal Control
Joint Optimization of Traffic Signal Control and Vehicle Routing in Signalized Road Networks using Multi-Agent Deep Reinforcement Learning
Multi-Agent Reinforcement Learning Based on Representational Communication for Large-Scale Traffic Signal Control
A Computationally Efficient Bi-level Coordination Framework for CAVs at Unsignalized Intersections
Prompt to Transfer: Sim-to-Real Transfer for Traffic Signal Control with Prompt Learning
Perimeter Control with Heterogeneous Metering Rates for Cordon Signals: A Physics-Regularized Multi-Agent Reinforcement Learning Approach
A Taxonomy of Adaptive Traffic Signal Control
Uncertainty-aware Grounded Action Transformation towards Sim-to-Real Transfer for Traffic Signal Control
Bridging the Reality Gap of Reinforcement Learning based Traffic Signal Control using Domain Randomization and Meta Learning
Cooperative Multi-Objective Reinforcement Learning for Traffic Signal Control and Carbon Emission Reduction
Real-Time Network-Level Traffic Signal Control: An Explicit Multiagent Coordination Method
DenseLight: Efficient Control for Large-scale Traffic Signals with Dense Feedback
A Novel Multi-Agent Deep RL Approach for Traffic Signal Control
Learning to Stabilize Online Reinforcement Learning in Unbounded State Spaces
Improving the generalizability and robustness of large-scale traffic signal control
Privacy-Preserving Adaptive Traffic Signal Control in a Connected Vehicle Environment
Reinforcement Learning Approaches for Traffic Signal Control under Missing Data
SocialLight: Distributed Cooperation Learning towards Network-Wide Traffic Signal Control
HumanLight: Incentivizing Ridesharing via Human-centric Deep Reinforcement Learning in Traffic Signal Control
Large-Scale Traffic Signal Control Using Constrained Network Partition and Adaptive Deep Reinforcement Learning
DataLight: Offline Data-Driven Traffic Signal Control
Deep Reinforcement Learning for Traffic Light Control in Intelligent Transportation Systems
Learning to Control and Coordinate Mixed Traffic Through Robot Vehicles at Complex and Unsignalized Intersections
Large-Scale Traffic Signal Control by a Nash Deep Q-network Approach
A Critical Review of Traffic Signal Control and A Novel Unified View of Reinforcement Learning and Model Predictive Control Approaches for Adaptive Traffic Signal Control
Reinforcement learning for traffic signal control in hybrid action space
SafeLight: A Reinforcement Learning Method toward Collision-free Traffic Signal Control
LibSignal: An Open Library for Traffic Signal Control
DynamicLight: Two-Stage Dynamic Traffic Signal Timing
ADLight: A Universal Approach of Traffic Signal Control with Augmented Data Using Reinforcement Learning
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.