SOTAVerified

Traffic Signal Control

Control traffic lights/signals to optimize traffic.

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Papers

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Showing 176–200 of 201 papers

TitleStatusHype
Cumulative Prospect Theory Meets Reinforcement Learning: Prediction and Control—0
CVLight: Decentralized Learning for Adaptive Traffic Signal Control with Connected Vehicles—0
CV-MP: Max-Pressure Control in Heterogeneously Distributed and Partially Connected Vehicle Environments—0
CycLight: learning traffic signal cooperation with a cycle-level strategy—0
Data-Driven Transfer Learning Framework for Estimating Turning Movement Counts—0
Decentralized Deep Reinforcement Learning for Network Level Traffic Signal Control—0
Deep Reinforcement Learning for Adaptive Traffic Signal Control—0
Deep Reinforcement Learning for Intelligent Transportation Systems: A Survey—0
Deep Reinforcement Learning for Traffic Light Control in Intelligent Transportation Systems—0
Depthwise Convolution for Multi-Agent Communication with Enhanced Mean-Field Approximation—0
Diagnosing Reinforcement Learning for Traffic Signal Control—0
Distributed Stochastic Model Predictive Control for an Urban Traffic Network—0
Distributed Traffic Signal Control of Interconnected Intersections: A Two-Lane Traffic Network Model—0
Distributed Traffic Signal Control via Coordinated Maximum Pressure-plus-Penalty—0
Domain Adaptation Framework for Turning Movement Count Estimation with Limited Data—0
DreamerV3 for Traffic Signal Control: Hyperparameter Tuning and Performance—0
Dynamic Location Search for Identifying Maximum Weighted Independent Sets in Complex Networks—0
DynLight: Realize dynamic phase duration with multi-level traffic signal control—0
DynSTGAT: Dynamic Spatial-Temporal Graph Attention Network for Traffic Signal Control—0
Effects of Smart Traffic Signal Control on Air Quality—0
EMVLight: A Decentralized Reinforcement Learning Framework for Efficient Passage of Emergency Vehicles—0
EMVLight: a Multi-agent Reinforcement Learning Framework for an Emergency Vehicle Decentralized Routing and Traffic Signal Control System—0
Enhancing Traffic Signal Control through Model-based Reinforcement Learning and Policy Reuse—0
Exploring the impact of traffic signal control and connected and automated vehicles on intersections safety: A deep reinforcement learning approach—0
Federated Hierarchical Reinforcement Learning for Adaptive Traffic Signal Control—0
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